Real-time Analytics
Make fast, smart decisions with our real-time analytics platform
Real-time analytics instantly transforms data into actionable insights, enabling large enterprises to adapt with agility and precision. Timely information enables better-informed decisions, optimizes operations, and uncovers new opportunities.
Fraud detection
Detect and prevent fraudulent activities by continuously monitoring transaction data and user behavior patterns. Flag anomalies and unusual activities for further investigation.
Offer personalization
Deliver personalized experiences by analyzing customer data as it’s generated. Real-time analytics applications can tailor recommendations, offers, and content based on customer preferences and context.
Enterprise BI analytics
Use your favorite BI tools like PowerBI for operational analytics. There is a native Tableau connector, too!
Product recommendation
Improve the analysis of product adoption and deliver better suggested content for end users.
Real-time analytics database FAQ
Using a NoSQL database for performance metrics provides real-time insights, allowing you to make data-driven decisions quickly. With Couchbase Analytics, you can integrate your operational data seamlessly without impacting performance.
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How does Couchbase handle large data volumes?
Couchbase effortlessly, ensuring that performance remains consistent as your data grows so you can efficiently analyze large datasets without compromising speed or reliability. Its real-time analytics architecture separates compute from storage and uses the infinite scale of AWS S3 and GCS for storage, or deploy on premises and scale as desired.
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How does Couchbase support complex queries?
Couchbase’s powerful query engine allows you to use SQL++ (SQL for JSON) to execute intricate data analyses efficiently. This flexibility enables you to extract valuable insights from your data.
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Does Couchbase have integrated services?
Absolutely. Couchbase Analytics maintains direct connections with Couchbase’s operational services using our Data Control Protocol.
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What third-party integrations are supported?
Data integration support for AWS S3, Google Cloud Storage including JSON, Parquet, Avro, CSV, Delta Lake and other text formats is available. Native support for Tableau, Power BI, and Apache Superset BI ad hoc query and visualization tools.