Real-Time Streaming & Analytics

YugaByte DB is an open source database for high performance applications that require ACID transactions and planet-scale data distribution.
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.

Software-as-a-Service

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
Transactional NoSQL
  • ACID transactions
  • Better reliability & performance than Apache Cassandra
  • Better persistence & scalability than Redis in-memory store
Planet-Scale SQL
  • Global data distribution
  • Auto sharding & rebalancing
  • Better scalability & availability than PostgreSQL DB
Multi-Model
  • Document & Key-Value
  • Time Series
  • Relational, Graph & more
Multi-API
  • Cassandra compatible
  • Redis compatible
  • PostgreSQL compatible (Beta)
Multi-Cloud
  • AWS, GCP, Azure, Pivotal
  • Docker, Kubernetes
  • Private data centers
Multi-TB Density
  • Store up to 6 TB 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
Integrations
  • Spring microservices
  • Apache Kafka streaming
  • 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