It includes massively parallel columnar processing separated from its storage features, query without creating index, Capella iQ<\/a> natural language-powered query and visualization, BI tool integrations, and real-time writeback to Capella\u2019s platform services and Couchbase Server.<\/p>\n These analytic services address long-standing issues faced by developers and data scientists in incorporating semi-structured JSON data in their analytics, data science and AI-base applications.<\/p>\n The GCP deployment of Analytic Services supports Compute-Optimized (C4A) instances featuring Axion Arm-based processors and Titanium SSDs. This environment offers exceptional performance for both the compute and storage needs of Capella.<\/p>\n “Developing AI-based applications and experiences is going to become the next great enterprise brand distinction. The combination of Couchbase\u2019s Capella Columnar running on Google Cloud’s Axion-based instances creates instrumental value for the future’s critical, AI-powered (or agentic) applications<\/em>,” said Matt McDonough, VP of Products and Partnerships.<\/p>\n “Our customers regularly choose Capella for its performance, versatility and scale as the database foundation for their analytical applications. And they will undoubtedly appreciate the exponential boost in performance and value of Arm-based Axion infrastructure for these workloads, especially when they need to offset the costs of incorporating AI within them. The analysis will show that this is where AI’s budget will be revealed<\/em>.” – Salil Suri, Director of Product Management, Google Compute Engine<\/p>\n Axion is built on the standard Armv9 architecture and instruction set. Axion sets a new bar in cost effectiveness with both higher raw performance and lower energy consumption over historic architectures. Match that with Capella\u2019s Analytic Services high-speed columnar processing and they create an unprecedented value for customers\u2013faster real-time analytics running on faster C4A instances, while consuming less electricity and operating with lower costs is an enterprise dream solution. Capella\u2019s Columnar Analytic Services on Google Cloud, brings a new era of performance to JSON data analytics. Built on Google’s C4A instances with Arm-based processors and Titanium SSDs, Columnar addresses the historical challenges of incorporating JSON data into analytics, machine learning, and AI, enabling developers to build cutting-edge AI-powered applications without breaking the bank.<\/p>\n While Capella\u2019s traditional Transactional and Mobile services have been available in Google Cloud for years, adding Analytic Services allows customers to enjoy and add real-time analytic processing within the same GCP environment.<\/p>\n Customers will also recognize familiar capabilities that are common to the Capella platform for both development and operations, including:<\/p>\n While Capella\u2019s platform services share common development and DevOps characteristics, they also provide separate, but congruent, features that differentiate their data access, processing, transit and storage capabilities for their roles in transactional, analytical, mobile and AI operations. For example:<\/p>\n Couchbase knows and accommodates JSON application data that evolves over time. This simplifies data design and implementation without breaking the application. The same holds true for our Columnar Analytic Services, where users don’t need to define a schema in advance. It automatically handles new fields, mixed data types, nulls, and missing values\u2014allowing customers to focus on the query without the extra hassle of evolving and maintaining detailed schema.<\/p>\n Analytic Services support heterogeneous data ingestion from NoSQL, RDBMS, or flat file sources. Real-time data is automatically ingested from Capella\u2019s transactional services, and uses Kafka as its real-time ingestion pipe from external data sources like MongoDB. It can also process semi-structured files including CSV, TSV, Avro, Iceberg and Parquet formats.<\/p>\n Operational write-back drives further personalization, promotion and action from calculated metrics delivered as they are calculated to Capella\u2019s Transaction Services. This will be especially useful for including real-time calculated metrics as variables for GenAI prompts.<\/p>\n Build Operational\/Analytic applications within the Google Cloud\u2019s Open Ecosystem including development tools, Gemini-powered AI, CNCF-centric deployment and operational tools.<\/p>\n Our Analytic Services support separation of compute and data storage, for unlimited data set sizes, and its serverless MPP engine scales independently–all of which is optimized on GCP Axion instances. The result is extremely scalable, yet affordable pay-as-you-go operations.<\/p>\n <\/p>\n Demand within the Couchbase community has been extremely high for Google Cloud support. Now that it has arrived, customers will enjoy the following benefits:<\/p>\n For more information on Capella Analytic Services, check out the Google Cloud Marketplace<\/a> or go to the Capella Columnar information page<\/a>.<\/p>\n![\"\"](\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/03\/blog-capella-columna-on-google-cloud-2-3-1024x552.png\")
<\/a><\/p>\nAnalytic Services use optimized GCP instances<\/h3>\n
Analytic Services and GCP are ideal for AI-powered applications<\/h3>\n
About Google\u2019s Arm-based Axion instances<\/h3>\n
Analytic Services expands Capella\u2019s capabilities on GCP<\/h2>\n
Common Capella interfaces and functionality on GCP<\/h3>\n
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Congruent capabilities across Capella platform services in GCP<\/h3>\n
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Capella\u2019s Columnar Analytic Services offer breakthrough features on GCP<\/h2>\n
Zero ETL for JSON and semi-structured data<\/h3>\n
Enterprise data requires multi-source Ingestion<\/h3>\n
Operational write-back<\/h3>\n
Works in GCP\u2019s open ecosystem<\/h3>\n
Powerful and economical<\/h3>\n
Capella Columnar Analytic Services shine on Google Cloud<\/h2>\n
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