Transactional NoSQL

YugaByte DB is an open source database for high performance applications that require ACID transactions and planet-scale data distribution.
Use Cases for Transactional NoSQL
Retail & E-Commerce

Delight customers with consistent product catalogs. Increase sales with real-time user personalization. Keep infrastructure costs low through dynamic scaling.

Software-as-a-Service

Run SaaS applications in any cloud across multiple geographic regions with extreme ease. Go global when you want, not when your data infrastructure is ready.

Financial Services

Rock solid reliability and performance for powering mission-critical applications responsible for customer, order and transaction system-of-record data.

Why YugaByte DB for Transactional NoSQL
Cassandra Compatible
  • Fully compatible with Cassandra
  • Sub-millisecond read latency
  • Multi-TB data density per node
ACID Transactions
  • Fast single row/shard ACID
  • Fully distributed ACID
  • RDBMS-like data integrity
Multi-Region
  • Global data distribution
  • Auto sharding & rebalancing
  • Fast read replicas for remote regions
Multi-Model
  • Document & Key-Value
  • Graph & Time Series
  • Relational and more
Multi-API
  • Redis & PostgreSQL compatible
  • Multiple APIs, single DB core
  • Build private DBaaS with ease
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
  • 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
MongoDB
  • Auto sharding & rebalancing
  • Distributed ACID
  • Sub-millisecond latency
  • Multi-Model & Multi-API
  • Multi-TB data density