Releasesby Glyph
Amazon OpenSearch Serverless is now available on v0 by Vercel
You can now build full-stack search and AI applications in minutes using Amazon OpenSearch Serverless on v0 by Vercel, an AI-powered platform that transforms your ideas into production-ready web applications.
Also shipped Sep 10, 2026AWS in September 2026 →
BigQuery conversational analytics adds ML.CORRELATION in preview
Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.
BigQuery ML.METRICS evaluates predictions without a stored model
The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .
BigQuery Data Engineering Agent integrates with BigQuery Graph
The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.
Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)
Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.
External secret providers (Preview)
External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .
More from Amazon OpenSearch ServiceEvery Amazon OpenSearch Service release →
Amazon OpenSearch Service introduces validation advisory for domain configuration changes
Amazon OpenSearch Service now provides validation advisory for domain configuration changes, which helps you make informed decisions about changes that carry risk but can still be applied.
Amazon OpenSearch Service now supports index-level encryption
Amazon OpenSearch Service now supports index-level encryption, letting you encrypt each index at rest with its own AWS Key Management Service (AWS KMS) customer managed key. This helps you protect data with different ownership or sensitivity under separate keys on the same domain.
Amazon OpenSearch Serverless now supports a 5-second default refresh interval
Amazon OpenSearch Serverless has reduced the default refresh interval from 10 seconds to 5 seconds. This change improves read-after-write visibility for search and vector collections, benefiting RAG and semantic search workloads.
Amazon OpenSearch Service introduces intelligent ingestion for logs and documents in Amazon S3
Amazon OpenSearch Serverless now supports intelligent ingestion, which automatically parses, chunks, and generates vector embeddings for logs and documents stored in Amazon S3.
Introducing time series collections for the next generation of Amazon OpenSearch Serverless
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.
Amazon OpenSearch Service optimized engine now supports agent traces
The Amazon OpenSearch Service optimized engine now supports agent and OpenTelemetry traces. This allows users to correlate logs and traces in a single view for debugging agent sessions.