USE CASE
Real-Time Analytics Use Cases
Couchbase’s NoSQL database enables quick insights and performance metrics from real-time data without slowing down operations, helping businesses make fast, informed decisions.
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.
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“Couchbase gives us the best of all worlds when it comes to managing customer marketing data.”
Cliff Miller, Enterprise Data Architect, Domino’s18K
stores
90+
countries
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“MOLO17 is proud to have delivered a strategic tool
Daniele Angeli, Founder & CEO, MOLO17
that the Italian Coast Guard
can deploy in emergency
situations where it is critical
to precisely locate.”100%
uptime
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“By moving the metadata to Couchbase, we were able to dramatically improve the efficiency of the system and speed data delivery.”
Arvind Jade, Architecture Lead, Nielsen175B
records
processed per
week+80%
management
efficiency
Related resources
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BLOG
How to harness real-time data analytics using operational data
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Datasheet
Couchbase Analytics Data Sheet
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INDUSTRY PAGE
NoSQL database for financial services
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.
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.
Absolutely. Couchbase Analytics maintains direct connections with Couchbase’s operational services using our Data Control Protocol.
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.