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SDKSDK-Common
Release Date: Aug 18, 2026
_SDK 5.1 common capabilities — shared by all SDK platforms. Shown in the overall SDK view; platform filters show that platform’s own blocks only.

Ditto SDK 5.1 — Faster Local Queries. More Capable Query Engine.

The new Ditto Edge SDK 5.1 delivers major features and optimizations across five areas. The release includes 77 platform and 112 SDK-specific improvements.Key takeaway: Existing applications get better performance and more efficient memory usage on the same hardware simply by upgrading to SDK 5.1.1. Performance: Faster Queries, Lower Memory Use
  • Evictions are 53.6× faster and deletes are 43.0× faster on average. This speeds up routine local data clean-up, like clearing the orders from a point-of-sale terminal.
  • A full-collection COUNT(*) fell from 149.03 ms to 0.89 ms, which is 167× faster on average. This speeds up badge counts and dashboard totals across an app.
2. Query Engine: New Ditto Query Capabilities
  • JOIN combines local collections in a single SELECT, removing the need to run separate queries and merge their results in application code.
  • ADVISE looks at a query and tells you the indexes to create to make it faster, all without running it or reading a document.
3. Security: Expanded Certificate Revocation
  • If a device is lost or stolen, it’s easier to revoke the device’s certificate, disconnect it from the mesh, and prevent the device from sending or receiving data.
  • Revocations travel peer to peer and reach devices even when they can’t see the cloud. Connections from revoked peers are terminated and refused.
4. Troubleshooting: Identify Problems and Recover Automatically
  • Identifying problems is easier with better tools for analyzing deployed devices, starting with support bundles that capture the device’s effective configuration.
  • Corrupted replication metadata is detected and rebuilt automatically, so field issues can be solved without a site visit.
5. Transport at Scale: Multicast Beta
  • Multicast allows Ditto to scale to large networks with many edge devices. Edge devices subscribe to a shared group for data sync, which has lower connection cost at scale.
  • Opt-in beta capability in the Swift, Kotlin/KMP, Flutter, and Rust SDKs. Support will expand to additional SDKs in the future.
Upgrading to 5.1 and rollback
  • Upgrading to Ditto SDK 5.1 changes the on-disk index format.
  • If you need to downgrade from Ditto SDK 5.1 or later, migrate through Ditto 5.0.2+. You can also migrate through Ditto 4.14.6+.

1. Performance: Faster Queries, Lower Memory Use

Edge applications feel database performance differently from cloud applications. A slow local query doesn’t just delay a response from a server. It can block a screen transition, increase battery use, create UI churn, or consume memory on a device with limited resources.SDK 5.1 delivers a major leap in local query performance. Applications can load data faster, complete writes sooner, and react to changes more quickly—even as their local datasets and workloads grow.The improvements span nearly every kind of local data operation: selects, indexed reads, inserts, updates, deletes, evictions, aggregations, and observers. In practice, this means more responsive user experiences, less time waiting for data operations, and greater capacity on the same device hardware.These gains come from improvements throughout the local data path. Ditto performs less decoding and allocation, finds documents more directly, executes mutations more efficiently, avoids unnecessary observer work, and reduces full database scans during subscription changes. An opt-in relaxed durability mode can further reduce disk synchronization for rebuildable sync metadata without changing the durability of application documents.

Android retail benchmark

The gains are broad rather than limited to one optimized query path. In testing on an Orion O6 Android device, SDK 5.1 was faster in 70 of 71 measured scenarios, with one result too close to call. The 72-scenario suite modeled an offline-first retail application with approximately 93,000 documents across seven synced collections.These results compare median runtimes from Ditto 5.0.3 and Ditto 5.1.0. Performance varies by device, data, indexes, and query mix, so test representative workloads on your target hardware.

Dramatically faster document counts

A count is a query that answers one simple question: how many documents match? Apps use counts all the time to show how many orders are open, how many items are in stock, or how many results a search found.One of the largest individual improvements is full-collection document counting. Ditto 5.1.0 adds an optimized path for COUNT(*), reducing the benchmark’s median execution time from 149.03 ms to 0.89 ms—approximately 167× faster. Counts with a filter also improved by approximately 4.4×.These improvements accelerate queries such as SELECT COUNT(*) FROM tasks and SELECT COUNT(*) FROM tasks WHERE status = 'open', making it substantially faster to calculate totals for dashboards, backlog checks, pagination, and application status displays.

Lower memory use

Edge devices like phones, tablets, and point-of-sale terminals have a fixed amount of memory that every app shares. The less memory Ditto uses, the more room your app has for its own work, and the less likely the operating system is to slow it down.In a separate Android workload that grew a collection from 3,000 to 30,000 documents, Ditto 5.1.0 delivered approximately 2.1× as many observer results while using less memory than Ditto 5.0.3.Total PSS estimates the process’s physical RAM footprint, and peak Total PSS is the highest that footprint reached during the test. Native heap covers Ditto’s Rust core—the pool of memory the program sets aside while it runs to hold its working data. Tombstone cleanup, bulk mutations, and retained disconnected sync sessions are also bounded more carefully to reduce peak memory in high-volume deployments.

2. Query Engine: New Ditto Query Capabilities

Performance is only half of the query story in this new release. DQL (Ditto Query Language) gains the two capabilities customers asked for the most: JOIN and composite indexes. Customers can also run ADVISE to identify any indexes that would speed up query performance.

Join collections locally

A join is a query that combines related data from two collections into one result. It matches records that share a value, like a task and the project it belongs to, so your application gets one combined answer instead of two separate lists.SELECT statements on edge devices can now join multiple local collections. This removes the need to coordinate separate queries and merge their results in application code.
DQL
This makes normalized data models practical at the edge. Product catalogs, order histories, task assignments, and multi-tenant views can stay separated into logical collections without forcing every screen to coordinate multiple reads.Joins use data already present in the local store. They do not fetch missing data from peers, and they are not supported in sync-subscription queries. The inner collection normally requires an appropriate index; use ADVISE when you need an index recommendation.

Create composite indexes

An index is a lookup structure the database maintains so it can find matching documents without reading the whole collection, much like the index at the back of a book. A composite index covers two or more fields at once, so a query that filters on one field and sorts by another can be answered in a single lookup.Edge devices now support composite indexes over multiple fields. A single composite index can accelerate queries that repeatedly filter or sort by the same combination of fields—for example, tenant and time, status and assignee, or location and category.The following index is designed for queries that filter tasks by status and sort them by createdAt:
DQL
It can improve queries such as:
DQL
Field order matters. Put fields used in equality filters first, followed by fields used for range filters or sorting. Composite indexes can also include array and object values. If you are unsure which fields to index, run ADVISE against the query to get an index recommendation.

Find the right indexes with ADVISE

ADVISE turns index optimization into a guided workflow. Prefix a query with ADVISE, and Ditto plans how it would execute that query without actually running it or reading any documents. It inspects the query’s filters, sorts, projections, and joins. Then, Ditto spots the places where the engine would have to scan the whole collection. For each one, the response explains why an index would help and provides a ready-to-run CREATE INDEX statement.For example, advise a query that filters tasks by estimated effort:
DQL
Ditto identifies the range predicate and recommends an index on estimateHours:
Run the suggested statement yourself, or use ADVISE AND PROVISION to create the recommended indexes automatically. ADVISE can also recommend composite and covering indexes for more complex filters, sorting, projections, and joins. It is currently available on edge devices.

Return changed documents with RETURNING

RETURNING lets an INSERT, UPDATE, DELETE, EVICT, or TOMBSTONE statement return data from the documents it changed. A data mutation and its confirmation can become one operation. Applications can receive the affected data immediately instead of issuing a second query.For example, update matching documents and return their IDs and new values in one operation:
DQL
RETURNING is especially valuable with deletes and evictions because it can return document contents before they are removed. It also supports projections, expressions, aliases, and aggregates such as RETURNING COUNT(*) AS removed.Ditto 5.1 also adds INSERT ... SELECT for creating documents directly from query results.

Control long-running requests

A single expensive query on an edge device can hold resources that are needed by the rest of an application. Two new system parameters can catch runaway queries before they cause performance issues.Set either parameter to 0 to disable it. Request history can also filter by request type or explicit profiling requests.

3. Security: Expanded Certificate Revocation

Security policies at the edge need to keep working even when devices are not continuously connected to the cloud. Security teams lose sleep over what happens when an edge device is lost or stolen.SDK 5.1 will help security teams sleep better. Certificate revocation information now propagates securely from Ditto Server to edge devices and from peer to peer throughout the mesh. As peers connect, they share the latest revocation information.Revocation enforcement is enabled by default. Peers reject new connections that present a revoked certificate and terminate matching active connections when a revocation arrives. This isolates revoked clients and prevents them from reconnecting through another peer in the mesh.Every hop verifies the revocation’s signature against its trusted certificate authority keys, the source that issues each device’s identity credentials. A compromised peer cannot forge revocations.

4. Troubleshooting: Identify Problems and Recover Automatically

A device misbehaving in the field is a hard problem to tackle in edge computing. It’s expensive and inefficient to fly an engineer out to attach a debugger to a tablet that is 3,000 miles away in the back of a restaurant.SDK 5.1 adds new options to remotely collect edge device data and identify the root cause of an issue. Support bundles now include config_snapshot.json, which records the effective DittoConfig, transport configuration, system parameters, and SDK version at capture time. This provides essential device config information at the start of every investigation or support case.Other new remote diagnostics include:
  • A configurable Unix debug_socket lets you remotely run DQL diagnostics against an edge device.
    • You can inspect a live device directly rather than reproducing the problem in a lab.
  • Nine new network counters under ditto.network.dsoq.* surface Ditto Sync over QUIC (DSOQ) protocol failures in your existing production metrics, without debug logs.
  • SQLite metrics distinguish the application data store from replication metadata databases on supported Unix platforms, showing which one is driving disk activity.
SDK 5.1 also repairs a class of problems on its own. Corrupted per-peer replication metadata is now detected, reset, and rebuilt automatically without affecting application documents. Previously, this class of corruption could require clearing the device’s local store. The result is faster diagnosis, fewer escalations, and fewer cases that end with wiping the app and reinstalling.

5. Transport at Scale: Multicast Beta

Today, Ditto’s default peer-to-peer model establishes a session between every pair of edge devices. The total connection count grows with the square of the mesh size, O(N²). Six devices need 15 connections, and sixty devices need 1,770. Connection maintenance eventually becomes the dominant cost in environments with a large number of edge devices like a mall, a ship, a concert venue, or an aircraft.Multicast is now available in SDK 5.1 as an opt-in beta. Devices join a shared multicast group rather than pairing off, which drops the connection count from O(N²) to O(N). There is one group membership per device.A sender would typically transmit an update once per device in the mesh, which is O(N). Multicast enables the sender to publish a single broadcast to the group, which is approximately O(1). There is one send, no matter how many devices are listening.The transport is built on reliable multicast (NORM, RFC 5740) combined with Ditto’s data reconciliation, so peers recover missed data and catch up after joining or reconnecting.When multicast is configured and available, it becomes the preferred replication path. Traffic is encrypted for the group, and existing peer-to-peer transports remain active as automatic fallback for peers the group cannot reach. Documents and attachments both replicate over multicast, including repair of missing attachment data.
Multicast is a beta capability in SDK 5.1. It ships in the core SDK as an opt-in feature rather than a part of the standard build. It is available in the Swift, Kotlin/KMP, Flutter, and Rust SDKs.Contact Ditto support or your Ditto representative before deploying multicast in production to understand the current beta limitations.

Upgrading to 5.1

The upgrade to Ditto Edge SDK 5.1 is seamless. Simply bump your dependency to 5.1.0 and Ditto handles the rest. An index migration will run automatically the first time your app starts. Data sync is backward-compatible, and 5.1 peers will work with 5.0 and v4 peers while you roll out gradually.

Tested rollback compatibility

Ditto Edge SDK 5.1 has undergone extensive backward-compatibility and rollback testing to ensure production deployments can safely return to supported earlier SDK versions when needed.The 5.1 SDK changes the on-disk index format. If you need to downgrade from Ditto 5.1 or later, migrate through Ditto 5.0.2+. You can also migrate through Ditto 4.14.6+. These versions recognize the updated index format and automatically revert it to the format understood by earlier versions.During the downgrade, composite indexes are replaced with single-field indexes, one for each of the composite index’s keys.See index migration and downgrade behavior for details. As with any production upgrade, validate the procedure with representative application data before deployment.
SDKSDK-Common
Release Date: Jul 22, 2026
Added: a new system parameter transports_websocket_watchdog_interval_secs to adjust WebSocket client watchdog. (#21885) Fixed: Corrected a formalisation bug causing DQL statement filters to never match, that was affecting observers using projections. (#QE-1056) Fixed: Corrected a hang when accessing system:data_sync_info. (#QE-1095)
SDKSDK-Common
Release Date: Jun 23, 2026
Added: a new timeout for WebSocket connect that is adjustable by system parameter transport_websocket_connect_timeout. (#21866) Changed: Mesh chooser now enforces per-transport connection limits instead of a shared WiFi radio budget, preventing one transport (e.g. TCP) from starving others (e.g. AWDL, WiFi Aware). When a transport is at capacity, the behavior for new inbound connections is configurable: reject, drop oldest, drop newest, or accept. Peers at capacity reject inbound connections with a new ConnectError::AtCapacity variant and back off exponentially to avoid retry storms. (#NETW-1586) Added: Automatic downgrading of the SP store from V3 to V2 on start-up. (#QE-595) Added: Automatic downgrading of the SQLite3 schema from V3 to V2 allowing for downgrading from version 5.1. (#QE-595) Added: disable_replication_gc_on_evict system parameter (default false). When set to true, calls to evict() no longer trigger immediate per-peer metadata cleanup; the periodic background replication GC continues to reclaim metadata for disconnected peers once they exceed the TTL (~7 days by default). Intended as an opt-in escape hatch for deployments where eviction-time filesystem work contributes to write-path latency. (#QE-686) Added: Optional background task to reclaim unused space in the Small Peer store and record space usage metrics. (#QE-779) Changed: The way query profile timing and count data is recorded to reduce overheads. (#QE-811) Fixed: A bug in internal subscription bookkeeping caused long-connected Document Sync sessions to become disabled due to spurious capacity errors. (#SPO-1011) Added: The option to set the DITTO_SQLITE3_MAX_CONNECTIONS parameter lower than 32, down until 16 (#SPO-668) Changed: The default value of SQLITE3_MAX_CONNECTIONS parameter to 32, down from 60 (#SPO-668). Changed: The replication_session_request_timeout_secs and blob_session_request_timeout_secs system parameters are no longer functional; the timeouts have been removed. They are accepted for backwards compatibility but have no effect. (#SPO-869)
SDKSDK-Common
Release Date: May 29, 2026
Removed: Spurious dsoq.cbor CBOR warning log during auth client initialization. (#21646) Added: Garbage collection for document sync sessions now imposes limits on the number of disconnected sessions that will be retained, even if the TTL is not exceeded. (#DS-1065) Fixed: the query engines erroneously build index spans not including the higher end for the BETWEEN operator. Fixed to include it. (#QE-896)
SDKSDK-Common
Release Date: May 5, 2026
_SDK 5.0 introduced DQL for all data operations and major core, performance, and upgrade changes. Shared by all SDK platforms; platform filters show that platform’s own blocks.

DQL for All Data Operations

DQL for All Data Operations

Ditto 5.0 completes the transition to DQL (Ditto Query Language) as the single API for all data operations. The legacy query builder has been removed.

What Changed

  • Legacy query builder removed: All store.collection() methods and fluent query APIs are no longer available
  • Full feature parity: Every legacy operation has a DQL equivalent
  • Single query language: DQL handles reads, writes, subscriptions, and observers
  • Works everywhere: Same syntax across mobile, server, and web
  • SQL-familiar: Standard SQL patterns for immediate productivity

Why One Query Language

A unified query language means one implementation to maintain, faster feature delivery, and consistent behavior across all platforms. New capabilities and optimizations benefit every SDK simultaneously.

Core Improvements

Simplified Initialization & Configuration

Ditto 5.0 introduces a completely redesigned initialization flow built around the new DittoConfig pattern. This replaces the previous Identity-based approach with a clearer, more predictable setup that aligns with modern best practices.

What’s New

The new configuration system provides:
  • Unified configuration object: All initialization parameters are set through DittoConfig factory methods
  • Fallible initialization: Explicit error handling during setup catches configuration issues early
  • Asynchronous patterns: Native async/await support where appropriate for each platform
  • Simplified authentication: Clearer authorization client that’s easier to understand and implement

What This Solves

The previous initialization flow required multiple unintuitive settings due to legacy compatibility concerns. For example, developers had to set disableCloudSync = true to connect to a Big Peer, which was confusing and non-obvious.The new pattern consolidates all configuration into a single, coherent flow that makes the relationship between settings explicit and easier to reason about.

Accessing Configuration at Runtime

After initializing Ditto, you can access the configuration object to retrieve settings like the database ID. This replaces methods like getAppID() from v4:
Each SDK provides access to the config object with language-appropriate naming conventions. See the SDK-specific migration guides for exact syntax.

Availability

The DittoConfig pattern was introduced as an option in v4.12 and becomes the only initialization method in v5.0.
Migration guides for each SDK are available in the v5 documentation. If you’re currently on v4.11 or later, the migration path is straightforward.

Schema-Free Data Modeling

Ditto 5.0 transforms the developer experience by making DQL strict mode disabled by default. This eliminates the need to define collection schemas or CRDT types upfront, allowing you to insert nested objects and data structures without pre-defining types.

What’s New

With strict mode disabled by default, Ditto changes how objects are stored and synchronized:Objects default to MAP type instead of REGISTER typeThis fundamental change means:
  • Field-level sync: Ditto syncs individual field changes instead of replacing entire objects
  • Automatic type inference: No need to pre-define collection schemas or CRDT types
  • Nested structures: Insert complex JSON-like documents without type definitions
  • Concurrent updates merge: When peers update different fields simultaneously, both changes are preserved
For example, if two peers update different fields in the same object concurrently, both changes sync successfully rather than one overwriting the other.

What This Solves

This change provides a more simplified data management structure with two key benefits:
  • Add-wins behavior on objects: When peers create or modify objects, additions are preserved rather than overwritten
  • Field-level delta sync on all nodes: Every field in your document syncs independently, reducing bandwidth and enabling fine-grained conflict resolution throughout the entire document structure

New Customers

Schema-free data modeling is enabled by default in Ditto 5.0. No action is needed—simply start building with automatic type inference and field-level sync.

Migrating Customers

If you’re migrating from Ditto 4.X, set DQL_STRICT_MODE = true to ensure your application behavior remains the same:
This maintains the same data modeling semantics you’re currently using. Once your application is stable on v5, follow the strict mode migration guide and work with the Ditto CX team to migrate to schema-free data modeling and take advantage of the improved developer experience.

Migration Considerations

Strict mode is a local configuration setting on each device that controls how DQL interprets and writes data structures.How it works across peers:
  • Data syncs successfully between peers regardless of different strict mode settings
  • Each peer interprets data based on its own strict mode setting when reading/writing
  • With DQL_STRICT_MODE=false: Objects are inferred as MAPs (field-level merging)
  • With DQL_STRICT_MODE=true: Objects without explicit type definitions are treated as REGISTERs (whole object replacement)
Impact on data:
  • Collections/documents created, modified, or read while strict mode is disabled will use inferred types (objects → MAPs by default)
  • Collections/documents created, modified, or read while strict mode is enabled use default REGISTER type and require explicit definitions for other types
Best practices for mixed deployments:
  • If mixing settings, explicitly define MAP types in collection definitions on peers with strict mode enabled
Learn more about strict mode, cross-peer synchronization, and troubleshooting in the DQL Strict Mode documentation.

New DQL Query Features

Ditto 5.0 introduces several new DQL syntax features that expand query capabilities and make complex queries easier to write.

CASE Statements

Add conditional logic to queries with CASE expressions:

BETWEEN Expressions

The BETWEEN operator provides a shorthand for defining an inclusive numeric range for an expression result.Syntax:
Example:
This is equivalent to (a >= 1 AND a <= 10).
Order matters: The order of expressions is important. Reversing the terms implies an inverse range - BETWEEN 1 AND 10 and BETWEEN 10 AND 1 are NOT equivalent.

Array & Object Search Syntax

Test elements within arrays or objects using ANY, EVERY, or ANY AND EVERY operators:Syntax:
  • IN - Searches the array/object directly
  • WITHIN - Searches recursively through nested structures
  • ANY - Returns true if at least one element matches
  • EVERY - Returns true if all elements match (empty arrays/objects pass)
  • ANY AND EVERY - Like EVERY, but empty arrays/objects fail

Array & Object Transformation Syntax

Create new arrays and objects by transforming existing data structures:Array Transformation Syntax:
Object Transformation Syntax:
Key behaviors:
  • If source evaluates to MISSING, the result is MISSING
  • For arrays: if source is not an array/object, the result is NULL
  • For objects: duplicate field names will overwrite previous values
  • Elements/fields where valueExpr evaluates to MISSING are excluded from the result

Extended String Literals

Support for escape sequences in strings:

Hexadecimal Numeric Constants

Additional numeric literal formats:

Performance & Platform

DQL Query Performance Improvements

Your applications will feel noticeably faster and more responsive. Data queries complete faster, delivering a snappier user experience whether users are searching, filtering, or loading content. These performance gains happen automatically—no code changes required.

Query Planner Enhancements

The DQL query planner has been enhanced to recognize more optimization opportunities:
  • Automatic ID scan conversion: Equality filters on _id fields automatically convert to ID scans, bypassing index lookups when exact document IDs are known
  • Deferred document fetching: Query planner can defer fetching full documents until after sorting and applying offset/limit when index access supports it
  • Improved covering index support: More scenarios where the query planner can satisfy queries entirely from index data without retrieving documents
  • Index-only queries: Additional cases where queries can be answered using only index scans

Streaming Query Execution

The query engine now uses streaming interfaces internally:
  • Reduced memory overhead: Results are streamed rather than fully materialized where possible
  • DISTINCT operator streaming: DISTINCT queries now stream results, reducing memory usage for large result sets
  • Improved operator inlining: Query operators can be inlined into producers for better performance

Shared Statement Cache

Ditto 5.0 introduces a shared statement cache that stores and reuses compiled query plans:
  • Plan reuse: Compiled query plans are cached and reused for identical or similar statements, eliminating redundant parsing and planning overhead
  • Automatic validation: Cached plans are automatically verified and invalidated when collection schemas or system directives change
  • Dynamic sizing: The cache automatically resizes based on workload patterns
  • Improved large statement performance: Particularly benefits complex queries and larger statements by avoiding expensive re-compilation
This optimization is especially impactful for applications that execute the same queries repeatedly, such as real-time dashboards or frequently-accessed data views.
These improvements are automatic - no code changes required. Your existing DQL queries will benefit from the enhanced query planner.

Data Sync Performance Improvements

Building on the performance improvements delivered in v4.13 & v4.14, Ditto 5.0 further optimizes data synchronization through tiered blob storage and protocol enhancements, making sync operations faster and more efficient.

What’s New

Version 5.0 introduces:
  • Tiered blob storage: Smaller sync updates avoid unnecessary disk I/O by using optimized storage tiers
  • Improved session handling: Better avoidance of session resets on reconnection when in-flight updates were lost
  • Optimized fsync policy: Document sync avoids forcing files to disk by default, decreasing I/O and improving latency

Impact

Applications upgrading to v5.0 will experience:
  • Faster sync operations: Reduced disk I/O overhead leads to quicker data synchronization
  • Lower latency: Optimized file handling decreases sync latency across the board
  • Better reconnection handling: Fewer redundant updates after temporary disconnections
  • Improved efficiency: Reduced disk operations lower memory and CPU pressure during sync

Local System Observability

Gain unprecedented visibility into how Ditto operates on your devices. Query real-time metrics, inspect runtime configuration, and monitor system health directly using DQL—giving you deeper insights than ever before to debug issues, optimize performance, and understand your application’s behavior.

New Virtual Collections

system:metrics
  • Query performance metrics and diagnostics in real-time
  • Access counters, timers, and other operational metrics via DQL
  • Monitor system health and performance without external tools
system:system_info
  • Query peer_key, database_id, and configuration settings
  • Inspect runtime configuration and system parameters
  • Useful for debugging and operational awareness
system:shared_statements
  • Inspect the query plan cache
  • View cached statements and their execution plans
  • Supports DELETE operations to clear specific cached statements
  • Helps optimize query performance and troubleshoot query planning
Local-Only Collections: System collections are local to each peer and are not replicated across the mesh. To query these collections on remote peers, use Remote Query from the Ditto Portal.

Usage Example

These collections provide unprecedented visibility into Ditto’s internal state, making it easier to monitor, debug, and optimize your applications.

Additional Improvements

Reliability & Error Handling

  • Enhanced diagnostics: Improved logging when peers receive data that cannot be deserialized
  • Recovery mechanisms: Additional recovery paths for document deserialization errors
  • Smart log levels: Connection failures start at warning level, escalate to error only after repeated failures
  • Panic messages: Filtered to remove internal Rust machinery frames for improved readability

Networking Improvements

  • Graceful shutdown: Network connections close cleanly when Ditto is stopped
  • Faster disconnection detection: When a peer crashes, Ditto stops attempting to connect within 15 seconds (previously up to 75 minutes)
  • mDNS improvements: More reliable mDNS discovery, configurable service names, better address filtering
  • BLE improvements: Fixed connection issues on Android 9 and earlier devices
  • WebSocket BYOD support: Bring Your Own Discovery now supports WebSocket connections
  • Connection cleanup: Fixed deadlock where devices could fail to establish new P2P connections until restarted

DQL Engine Improvements

Beyond the query performance improvements detailed above, v5 includes:
  • Better error messages: Improved parser error messages for invalid DQL syntax
  • Transaction safety: Fixed deadlock scenarios in concurrent transactions
  • Index correctness: Fixed issues where index scans could yield incorrect results on document deletion

Logging & Diagnostics

  • Better disk utilization: On-disk logs resume writing to incomplete files, making better use of available space
  • Compressed size limits: Log file limits now apply to compressed size, significantly increasing retention
  • Explicit flushing: Logs explicitly flushed before aborting due to panic
  • Virtual collections: New system:metrics and system:system_info collections for DQL access to metrics and system information

Platform Support

  • Linux aarch64: Kotlin SDK now supports ARM64 Linux (Raspberry Pi, AWS Graviton, etc.)
  • Swift 6: Full Swift 6 support with Sendable conformance
  • 16KB alignment: React Native Android meets Google Play’s November 2025 requirement

Upgrading to v5

Terminology Updates

Ditto 5.0 updates terminology across the platform to align with industry standards and reduce confusion.

Database ID (formerly App ID)

  • appID → databaseID in all configuration methods
  • getAppId() → getConfig().databaseId in SDK APIs
  • Portal and documentation updated to use “Database ID” terminology
Why this matters: The term “App ID” caused confusion, particularly for mobile developers who associate “app” with the mobile application itself rather than the Ditto database instance. “Database ID” more accurately describes what the identifier represents: a unique identifier for your Ditto database that persists across all clients.

Ditto Server (formerly Ditto Cloud)

  • isConnectedToDittoCloud → isConnectedToDittoServer in presence APIs
  • Documentation updated to use “Ditto Server” terminology
Why this matters: This clarifies that the property indicates connection to any Big Peer (Ditto Server), not just those running in Ditto’s cloud service. This is more accurate for deployments using self-hosted Big Peers.

Breaking Changes

Ditto 5.0 is a major version release that removes deprecated APIs and legacy features. For migration guidance, see Migration Guidance.

Removed APIs

Legacy Query Builder (All SDKs)

All legacy query builder APIs have been removed:
  • store.collection() → Use DQL INSERT, UPDATE, EVICT statements
  • collection.find() → Use DQL SELECT queries
  • collection.findById() → Use DQL with _id filter
  • Live queries → Use DQL observers with store.registerObserver()
  • Write transactions → Use store.transaction() with DQL

Legacy Initialization (All SDKs)

  • Identity classes and all subclasses removed
  • Ditto(identity:, persistenceDirectory:) constructors removed
  • Use DittoConfig factory methods and Ditto.open() instead

Sync Methods Moved

  • ditto.startSync() → ditto.sync.start()
  • ditto.stopSync() → ditto.sync.stop()
  • ditto.isSyncActive → ditto.sync.isActive

Other Removals

  • disableSyncWithV3() - no longer needed, v3 sync removed entirely
  • AttachmentToken - use dictionary variant
  • Transport diagnostics APIs - obsolete, removed
  • Various deprecated presence properties (queryOverlapGroup, meshRole, etc.)
  • Emoji log level headings - setting had no effect, removed

Behavioral Changes

Several default behaviors have changed in v5:
  • DQL strict mode: Now defaults to false - no schema definitions required, automatic CRDT type inference
  • String literals in DQL: Double quotes now delimit strings (not identifiers) for JSON compatibility
  • Subscription queries: Reject LIMIT and ORDER BY unless DQL_RESTRICT_SUBSCRIPTION=false
  • Observer ordering: Observers require explicit ORDER BY clause for stable ordering
  • WebSocket sync: Disabled by default in new TransportConfig instances - must explicitly enable
  • Document IDs: null is no longer allowed as a document ID
These behavioral changes may affect existing code. Review your DQL queries and subscription logic when migrating to v5.

SDK Size Reduction

The removal of legacy APIs has reduced SDK footprint by approximately 25%, resulting in:
  • Smaller application binary sizes
  • Reduced memory usage
  • Faster SDK initialization
  • Simpler maintenance and debugging
SDKGo
Release Date: Nov 14, 2025
_Ditto Go SDK 5.0.0 — Public Preview. The Go SDK ships on its own preview cadence; it is not part of the 5.1.0 common capabilities above.The Ditto Go SDK is now available in Public Preview. This initial release provides core functionality for building peer-to-peer sync applications in Go, including authentication, data querying, real-time observers, and presence detection.

Authentication & Initialization

  • Offline Initialization: Initialize Ditto instances without requiring network connectivity, enabling immediate local-first operations
  • Authentication Support: Authenticate with Ditto Cloud using standard authentication flows
  • Standard Initialization: Full initialization with network connectivity and cloud integration

Data Operations with DQL

  • DQL Execute: Run Ditto Query Language (DQL) queries to perform data operations including SELECT, INSERT, UPDATE, UPSERT, and DELETE
  • Live Queries (Observers): Register observers on queries to receive real-time updates when matching documents change
  • Subscriptions: Create sync subscriptions to control which data syncs between peers
  • Transactions: Execute multiple DQL operations atomically within transactions for data consistency

Peer-to-Peer Networking

  • Presence: Detect and monitor connected peers in your mesh network with presence observers
  • Differ: Track and sync document changes efficiently between peers

Developer Tools

  • Logging: Configurable logging system to monitor SDK operations and debug sync behavior
  • Small Peer Info: Access metadata about connected peers
  • Ditto Properties: Inspect SDK configuration and runtime properties
  • Serialization: Serialize and deserialize Ditto documents and data types

Platform Support

The Go SDK supports Linux and macOS platforms, enabling deployment across servers, desktop applications, and edge devices.