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.
WHY COUCHBASE
Real-time operational analytics, JSON-native
Use operational data for real-time analytics without compromising your database performance. Couchbase’s analytics architecture enables efficient real-time analysis by seamlessly optimizing performance throughout all stages of data access.
No ETL
Access and analyze operational data without having to copy and migrate data to a separate technology vendor.
Scalable architecture
Get compute and storage separation to make scaling easy and efficient as your data volume grows.
Add enterprise sources
Use Kafka to connect and ingest enterprise data from NoSQL and relational systems.
Real-time write-back
Deliver derived data in real-time to Couchbase’s operational store for use in applications
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’s
18K
stores
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“MOLO17 is proud to have delivered a strategic tool
that the Italian Coast Guard
can deploy in emergency
situations where it is critical
to precisely locate.”Daniele Angeli, Founder & CEO, MOLO17
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, Nielsen
175B
records
processed per
week
Real-time analytics FAQ
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.
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