According to Forrester, 73% of enterprise data isn’t used in analytics, and 40% of big data projects fail to deliver value. That’s because – until now – it was too difficult to get critical data from operational systems to the analytics database and back again. This was especially true for JSON data because its structures are difficult to analyze with traditional analytics systems.
Couchbase has solved these problems with the first integrated database platform that optimizes data storage and processing for both JSON operational data and analytical data.
Join this webcast to learn how Capella Columnar provides:
- Zero ETL for JSON – Automated translating and parsing of of JSON structures into an analytics-ready columnar format makes analysis easier and faster.
- Multisource ingestion – Stream real-time data from Couchbase Capella, Couchbase Server, and third-party databases. Amazon S3 file-based ingestion lets customers drive actionable insights and informed decisions from Couchbase data and other data.
- Conversational analytics – With the power of SQL++ and Capella iQ, developers can perform and evolve analysis via natural language to accelerate metric and reporting delivery and reduce the burden on their BI teams.
- Operational write-back – Calculated data can be written back to operational Capella and Couchbase Server in milliseconds, allowing teams to use metrics for advanced application features and AI prompts.
