Capella Columnar Release Notes
- Capella Columnar
- reference
November 2024 Changelog
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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
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We’re pleased to announce the launch of Capella Columnar SDKs, offering programmatic access to the Columnar service. Columnar SDKs are initially available for the Java, Node.js, and Python platforms, and are tailored to the APIs offered by the Columnar service.
Columnar SDK Documentation Quickstart Example SDK API Reference Java Columnar SDK
Node.js Columnar SDK
Python Columnar SDK
August 2024 Changelog
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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:
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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.
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An enhanced MPP-based computation engine, allowing for real-time calculations regardless of data size.
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Supports cost based optimization for faster and accurate results.
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Ability to write back results of the query to Couchbase Operational data service using a simple SQL++ query.
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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.
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File-based reads, imports and exports for data stored in AWS S3 including JSON, Parquet, Avro, CSV, and other text formats.
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Data Lakehouse by querying directly from S3 and combining it with the data in Columnar.
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Conversational coding using Capella iQ, to allow developers to use the power of a large language model (LLM) for SQL++ development.
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Native support for Tableau and PowerBI for building reports, visualizations, and dashboards.
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