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Capella Analytics Release Notes

  • Capella Analytics
  • reference

May 2026 Changelog

  • Capella iQ Expands with AWS Bedrock Support

    Capella iQ now leverages multiple AI model providers to power its AI-assisted capabilities, delivering flexibility, improved reliability, and greater scalability. Support for AWS Bedrock-hosted models enables a more robust and performant experience across query generation and insights.

    This enhancement is fully managed and requires no changes to your existing workflows.

    For more information about model usage and configuration, see Work Faster with Capella IQ. For more information about Capella iQ, see Get Assistance from Capella iQ.

Fixed Issues & Improvements

Category Topic Description Issue

Storage & Connectivity

Stale DNS entries on reconnect

The cluster retry logic is updated to re-resolve DNS addresses on every attempt. This prevents extended retry loops on stale IPs, ensuring faster connection recovery.

MB-70678

Blob storage heartbeat timeout extended

Enhanced system stability by extending the blob storage heartbeat timeout, reducing the likelihood of unnecessary service halts.

MB-71270

Blob verification timeouts

CloudGuardian blob verification timeouts during high load caused node halts, leaving the cluster in an unusable state. Timeout handling has been improved to prevent this under sustained load.

MB-71392

Query Engine & Indexes

Per-micro operator profiling for subplans

Query execution profiles now include per-micro operator timing for nested subplans, providing more granular performance diagnostics.

MB-67666

Improved OR predicate index utilization

Queries using OR predicates can now leverage secondary indexes more effectively, improving performance of such queries. This improvement is enabled automatically on newly provisioned clusters. Upgraded clusters must enable it manually via the service configuration.

MB-70726

March 2026 Changelog

  • Cross-Account Trust Authentication for AWS S3 Links

    Capella Analytics supports cross-account trust authentication for AWS S3 links, providing a more secure, industry-standard method for accessing external data.

    For more information, see Create a Link for Amazon S3.

October 2025 Changelog

  • Unlimited Columns Support

    Capella Analytics now supports an unlimited number of columns ensuring the flexibility to handle extremely wide schemas for analytical workloads.

    For more information, see View Metadata for a Collection.

  • Data Transformation During Ingestion

    Capella Analytics introduces lightweight transformation of data during ingestion using SQL++ user-defined functions (UDFs). This enables direct manipulation of incoming data with minimal latency.

    For more information, see User-Defined Functions.

  • Support for Heterogeneous Indexes

    Capella Analytics now supports heterogeneous indexes. Indexes no longer require a single data type to be declared in the CREATE INDEX statement. Mixing heterogeneous fields with schema-declared fields in index definitions is not supported.

    For more information, see Indexes.

  • New Built-in Functions

    Capella Analytics introduces three new built-in functions: sha1_hex and sha1_base64 for hashing text, and from_base for converting a number string from a given base (radix) into a standard decimal big integer value.

    For more information, see String Functions

August 2025 Changelog

Effective today, Capella Columnar has been formally rebranded as Capella Analytics. All relevant documentation and product references have been updated to reflect this change.

May 2025 Changelog

  • Enhanced Data Export with CSV and Parquet

    Capella Analytics now supports exporting query results to external data stores in CSV and Parquet formats using the COPY TO statement.

    This expands upon the existing JSON export capability.

    For more information, see COPY TO External Data Store Statements.

  • TRUNCATE COLLECTION

    Capella Analytics introduces the TRUNCATE COLLECTION statement for a collection, providing a fast and efficient method to remove all data.

    For more information, see TRUNCATE Statements.

  • Improved Conditional Functions Behavior

    Capella Analytics has updated the behavior of some of its conditional functions such as NULLIF.

    When comparing against a null or missing second argument, these functions consistently return the first argument, aligning with standard SQL behavior.

    For more information, see Conditional Functions.

March 2025 Changelog

  • Expanded AWS region availability

    Capella Analytics supports 2 new AWS regions:

    • Europe (Stockholm)

    • Asia-Pacific (Tokyo)

    For a list of all AWS regions that Capella Analytics now supports, see Amazon Web Services (AWS).

  • Google Cloud Storage (GCS) Support

    Capella Analytics is now available in select Google Cloud regions, supporting Compute-Optimized (C4A) instances featuring Arm based Axion processors and Titanium SSDs. This integration enhances high-performance analytics capabilities for enterprises leveraging cloud infrastructure, enabling faster insights with greater efficiency.

    For more information, see Google Cloud Platform (GCP).

  • DynamoDB Support

    Capella Analytics now supports data ingestion from DynamoDB using the MOLO17 Gluesync connector.

    For more information, see Create a Collection for a Kafka Data Link.

  • Ordered Columns

    Capella Analytics now supports ordered columns, ensuring that it preserves the column order specified in the user’s SELECT statement. This aligns with standard SQL behavior, providing consistency and predictability in query results.

    For more information, see Select Clauses.

  • Server RBAC

    We are excited to introduce fine-grained access control in Capella Analytics using a robust roles and privileges model that enables granular, programmatic, and application-level data access on clusters. Access Control Accounts now secure automated and service-to-service interactions without being tied to individual users, while UI tools like the Workbench continue to use separate controls. This update reinforces least privilege principles, improves compliance, and streamlines auditing for enhanced security.

    For more information, see Create an Access Control Account.

January 2025 Changelog

  • Delta Lake

    Delta Lake is an open-source storage framework that enables building a format agnostic Lakehouse architecture. With this support, Capella Analytics provides read-only access to Delta Lake tables in Amazon S3.

    For more information, see CREATE an External Collection.

  • Apache Superset

    Apache SuperSet is a modern platform for data exploration and visualization. Capella Analytics now includes support for Superset as an additional business intelligence (BI) tool.

    For more information, see Use Business Intelligence Tools.

November 2024 Changelog

  • Visualize Query Results with iQ Insights

    After running a query, you can use iQ Insights to generate a variety of relevant graphs and charts with the help of AI. Use iQ insights to better understand your data and gain more insights from your query results.

    iQ Insights is available to use with both Capella Operational and Capella Analytics clusters.

    For more information, see Explore Results with iQ Insights.

October 2024 Changelog

August 2024 Changelog

  • We’re pleased to announce the launch of Capella Analytics, a new offering designed to enable developers and data platform teams to build responsive analytic applications that can adapt to rapidly changing data needs. Capella Analytics is a NoSQL first analytics database as a service (Online Analytical Processing or OLAP).

    Capella Analytics offers the following features:

    • A column-oriented, Log-Structured Merge (LSM) plus B-tree structured storage engine built to expand the analytic performance and capacity of Capella. Capella Analytics has a shared-nothing compute and shared object storage architecture. Customers can scale compute resources independently of storage.

    • An enhanced MPP-based computation engine, allowing for real-time calculations regardless of data size.

    • Supports cost based optimization for faster and accurate results.

    • Ability to write back results of the query to Couchbase Operational data service using a simple SQL++ query.

    • Zero ETL and real-time ingestion capabilities powered by Confluent Kafka and Amazon Manage Streaming for Apache Kafka (MSK), which provide the ability to connect, capture, and extract data from nearly any database or application. This process also transforms the extracted data into developer-friendly JSON while in transit.

    • File-based reads, imports and exports for data stored in AWS S3 including JSON, Parquet, Avro, CSV, and other text formats.

    • Data Lakehouse by querying directly from S3 and combining it with the data in Capella Analytics.

    • Conversational coding using Capella iQ, to allow developers to use the power of a large language model (LLM) for SQL++ development.

    • Native support for Tableau and PowerBI for building reports, visualizations, and dashboards.