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Capella Columnar Release Notes

  • Capella Columnar
  • reference
March 23, 2025
+ 12

March 2025 Changelog

  • Expanded AWS region availability

    Couchbase Columnar supports 2 new AWS regions:

    • Europe (Stockholm)

    • Asia-Pacific (Tokyo)

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

  • Google Cloud Storage (GCS) Support

    Couchbase Columnar 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

    Couchbase Columnar 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

    Columnar 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 Columnar 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, Columnar 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. Columnar 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 Columnar 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 Columnar, a new offering designed to enable developers and data platform teams to build responsive analytic applications that can adapt to rapidly changing data needs. Columnar is a NoSQL first analytics database as a service (Online Analytical Processing or OLAP).

    Capella Columnar 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. Columnar 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 Columnar.

    • 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.