ClickHouse release 26.10
ClickHouse 26.10 adds function composition, improved join flexibility, faster GROUP BY queries, and disk spilling for IN subqueries. It also includes an experimental columns cache and support for Freeform and SQLite formats.
ClickHouse 26.10 adds function composition, improved join flexibility, faster GROUP BY queries, and disk spilling for IN subqueries. It also includes an experimental columns cache and support for Freeform and SQLite formats.
The environments page has been optimized to prevent timeouts for large enterprise organizations.
MuJoCo 4.0.0 introduces speculative contacts to prevent tunneling of fast-moving objects and adds stateful elasto-plastic deformation for joints, tendons, and flexes. The Python distribution has also been reorganized into separate core, studio, and default packages.
Compute costs for streaming ingests running on Foundry worker are reduced by around 97.5% starting November 1, 2026. This cost reduction builds on previous pricing updates to facilitate migration from the legacy agent worker to Foundry worker.
API server autoscaling for Airflow 3 deployments is now generally available. It automatically adjusts replicas based on CPU utilization.
The CodeRabbit Metrics API now distinguishes between request rate limits and query capacity limits. Users should implement retries based on the Retry-After header when receiving 429 or 503 responses.
Syncing data from BigQuery into AlloyDB is generally available ( GA ). This feature lets you copy or mirror analytical tables from BigQuery into AlloyDB for low-latency operational access using the alloydb_sync extension. For more information, see Sync BigQuery data to AlloyDB .
Datadog Online Experiments allows engineers to test AI agent changes against production traffic. It enables comparison of response quality, cost, latency, and error rates.
This week's release includes syntax highlighting for Go 1.27 generic methods, an option to open README files by default, and AI commit messages that follow your repository's recent commit style.
Ray 2.60.0 released shuffle v2 as default for joins and aggregations, updated Parquet task sizing from row-group metadata, added rolling update surge controls in Ray Serve, and patched security vulnerabilities.
Inference New Serverless mode: Ultra-fast (Preview) Ultra-fast is a new high-speed Serverless mode, now in Preview, for highly latency-sensitive applications. Ultra-fast variants aim for 6-8x generation speed, and up to 10x for agentic coding tasks. Like Fast, it is not a different model, so output quality is the same.
Agents SDK v0.33.0 upgrades PiHarness to Pi 1.5 ↗︎ . The release reduces storage transactions while streaming, improves throughput across many sessions, and reduces memory use when streaming large tool calls. Performance improvements Far fewer storage writes while streaming.
You can now tune SQL queries using AI. Available starting with version 1.6.2 of the google_ml_integration extension, the ai.tune_sql function uses an LLM along with query execution plans, schemas, and runtime stats to recommend query optimizations.
You can now monitor the performance, adoption, latency, and costs of your data agents and their conversations by using Google Cloud Observability in BigQuery. This feature is generally available (GA).
Starting today, Amazon Aurora MySQL-Compatible Edition 3 (compatible with MySQL 8.0) supports MySQL 8.0.46, which includes community MySQL fixes and Aurora-specific improvements.
Datadog RUM Profiling is available to identify CPU-intensive code causing slow mobile app launches and frontend interactions across iOS, Android, and browsers.
Vercel Sandboxes that mount Drives now start faster. Median creation time dropped from 1.7s to 0.7s, and p95 dropped from 2.2s to 1.6s. The speedup applies automatically to every sandbox that uses Drives, with no SDK upgrade or configuration changes needed. Pricing stays the same. Learn more in the Vercel Drives documentation . Read more
Vercel is migrating Data Cache to Runtime Cache, which offers increased storage allocations and new usage-based pricing.
SageMaker AI now supports GPU partitioning using NVIDIA Multi-Instance GPU (MIG) technology. This allows multiple models to share a single GPU with hardware-enforced isolation.
Automatic table optimization for Apache Iceberg is now available in the US West (N. California) region. It compacts small files and removes unreferenced snapshots to improve query performance.
Cloud Run jobs can now be configured with GPU support for execution durations of up to 12 hours.
BigQuery now supports retrieving query results in Apache Arrow format. This preview feature improves serialization efficiency and retrieval speed.
Snowflake hybrid tables are now supported in all Google Cloud commercial regions in preview.
DBArena provides open, reproducible benchmarks for hosted Postgres providers. It evaluates performance and pricing using a public methodology.
Real-time mode in Lakeflow pipelines is generally available on classic and serverless compute, providing operational streaming processing latencies as low as five milliseconds.
Sail, a Rust-native distributed compute framework, and LakeSail Cloud now connect to Microsoft OneLake. This integration allows teams to run Spark and Python workloads on Fabric using Delta Lake and Apache Iceberg formats without data copies or extra connectors.
Node.js 26 LTS is now generally available for builds and Vercel Functions, featuring HTTP/2 support by default and the Temporal API.
Amazon SageMaker AI now supports Seekable OCI (SOCI)-indexed container images, allowing training and processing jobs to lazy-load images and start in seconds instead of minutes.
Databricks released Beta support for running multiple real-time flows per serverless pipeline and adaptive source repartitioning for Kafka and Kinesis in preview channel pipelines.
Databricks has made serverless GPU compute generally available for clean room notebooks, enabling model inference and training over shared data.
Microsoft Fabric updated scalar user-defined functions (UDFs) in the Data Warehouse, adding support for procedural logic like loops and conditional branches. These functions can now be inlined for better performance across analytical workloads.
ClickHouse released a cost-based join optimizer that automatically reorders inner, outer, semi, and anti joins to determine the most efficient execution plan.
Amazon OpenSearch Serverless now supports time series collections for ingesting and analyzing logs, metrics, and traces. This includes a lower-cost warm storage tier and built-in alerting and anomaly detection.
OpenRouter updated its provider routing algorithm to continuously monitor endpoint performance, optimizing speed, cost, and reliability for inference requests.
Vercel Container Registry now supports compressed image layers up to 2 GB, facilitating the use of larger toolchains and dependency sets.
Gradium updated its TTS output to remove 40 ms of silence at the start of resampled audio chunks. Developers should now use start_s and stop_s parameters instead of assuming fixed chunk sizes.
Buildkite has updated its queue pages to provide better visibility into agent capacity and job status. New charts allow teams to track agent and job activity over time to identify bottlenecks and manage capacity more effectively.
The revamped query editor is now generally available and is the default experience when you edit a panel. It brings your whole data pipeline into a single view (queries, expressions, transformations, and the alert rules that depend on them), so complex and multi-source panels are faster to build, review, and troubleshoot.
New design and KPI features for Microsoft Fabric Real-Time Dashboards are now generally available. These include Design Tiles for layout structure, multi-KPI grouping, and enhanced KPI styling to improve dashboard readability and reduce authoring effort.
Agents using Sentry MCP can now tell configured drops from lost data, choose the right attribute in projects with many fields, and wait less on project-scoped connections.
Amazon ElastiCache for Valkey data tiering is now available on Graviton4-based R8gd nodes in Europe (Spain) and Graviton3-based R7gd nodes in Europe (Spain) and Asia Pacific (Hyderabad). This allows for cost-effective scaling using SSDs.
The DuckDB 2.0.0 Python client now includes an appender for efficient bulk data insertion. This allows users to collect rows and write them in a single operation.
Heroku has deprecated support for Python 3.11, with removal from buildpacks scheduled for January 2028.
With this preview release, Autopilot is available for sensitive data classification. Autopilot lets Snowflake manage classification timing, reclassification schedules, and minimum object age to optimize performance and cost.
Secondary indexes are now generally available in Snowflake.
Lakeflow Jobs now provide job-level query performance metrics, insights, and optimization suggestions via Genie Code.
Databricks updated Databricks Runtime 19 with operating system security updates and general bug fixes.
Databricks launched Databricks SQL version 2026.43 on the Current release channel.
Vercel has optimized pnpm installs by reusing dependency verification across deployments, reducing build times.
Snowflake has introduced a preview for task graph management, including centralized configuration, non-suspending pipeline updates, and conditional execution based on upstream outcomes.
Snowflake's GEN_ARM_G1 and GEN_X64_G1 instance families for Snowpark Container Services are now generally available on Google Cloud.
Databricks now supports DataFrame caching on serverless compute via df.cache() or df.persist(), allowing users to reuse results within a session.
Citus 13.5.0 includes performance improvements for extension updates and cluster health checks, along with several bug fixes.
Vercel deployment summaries now display build cache size and usage relative to limits, helping users monitor billable build time.
Apache Kafka 4.4.0 introduces new features and improvements across broker, controller, producer, consumer, admin client, and Kafka Streams components. This release includes updates to cluster metadata bootstrapping, share group dead-letter queues, and transactional state stores.
Shared Serverless allows notebooks and files within the same bundle to share serverless compute resources and environment configurations defined in a pyproject.toml file.
ThinkingBox-Training is now available to post-train agents using executable database state as a reward. The framework uses offline policy-relative difficulty to select training tasks and improve agent dependability.
Oracle Cloud Infrastructure introduced Cluster Health Checks to identify unhealthy GPU nodes and validate cluster readiness for AI and high-performance computing workloads.
Custom runtime images for ML Jobs are now generally available in Snowflake. Users can register custom container images to ensure reproducibility and meet specific compliance requirements.
Users can now use natural language to create custom HTML-based visualizations and KQL queries directly within Real-Time Dashboards using Copilot.