Real-Time Streaming & Analytics

YugaByte DB is the open source, transactional, high-performance database for building internet-scale, globally-distributed apps.
Use Cases for Real-Time Streaming & Analytics
Media & Entertainment

Analyze telemetry events faster than ever before. Increase customer satisfaction with real-time user personalization. Keep infrastructure costs low through dynamic scaling.


Run mission-critical time series applications on any cloud with extreme ease. Delight customers with accurate real-time aggregations and dashboards.

Internet of Things

The ideal elastic data store for your Apache Kafka and Apache Spark based streaming data pipeline. Run dense clusters and use tiered storage to cost effectively process high volume sensor data.

Why YugaByte DB for Real-Time Streaming & Analytics?
High Performance
  • Sub-millisecond read latency
  • Linearly scalable write throughput
  • Multi-TB data density per node
  • Common document store across all APIs
Transactional NoSQL
  • Key-value API for blazing fast query performance
  • Flexible schema API with native JSON for unstructured data
  • Full spectrum of ACID compliance
Planet-Scale SQL
  • Distributed SQL API with auto sharding & rebalancing
  • Massive write scalability & unmatched fault tolerance
  • Global data distribution
  • Unparalleled data modeling freedom
  • NoSQL with Document & Key Value model
  • SQL with Relational model
  • Cassandra-compatible Flexible Schema NoSQL
  • Redis-compatible Key Value NoSQL
  • PostgreSQL-compatible Distributed SQL (Beta)
  • AWS, GCP, Azure, Pivotal
  • Docker, Kubernetes
  • Private data centers
Multi-TB Density
  • Store 10s of TBs per node
  • Keep compute costs low
  • Serve ever-growing data apps
Open Source
  • Apache 2.0 license
  • Supports popular open APIs
  • 1-click upgrade to Enterprise
  • Spring microservices
  • Apache Kafka & KSQL streaming platform
  • Apache Spark analytics
How does YugaByte DB compare?
Apache Cassandra
  • 3x faster consistent reads
  • 6x data density per node
  • Native JSON documents
  • ACID transactions
  • Reliable and fast scaling
Amazon DynamoDB
  • 10x more cost effective
  • 3x more app dev agility
  • Sub-millisecond latency
  • ACID transactions
  • No partition size limit
Redis In-Memory Store
  • Zero data loss durability
  • Auto sharding & rebalancing
  • Linear write scaling
  • Extreme fault tolerance
  • No in-memory storage limit