SnapDB

SnapDB

SnapDB is an open-source, distributed database designed for scalability, high performance, and high availability. It is document-oriented and optimized for operational analytics use cases.
SnapDB image
opensource distributed scalability high-performance high-availability documentoriented operational-analytics

SnapDB: Open-Source, Scalable Database

Open-source distributed database designed for scalability, high performance, and high availability for document-oriented operational analytics use cases.

What is SnapDB?

SnapDB is an open-source, distributed NoSQL database optimized for large-scale data analytics. It employs a document data model with JSON-like documents that can vary in structure, offering flexibility in data schemas. SnapDB is designed from the ground up to run on clusters to provide horizontal scalability and high availability.

Some key features and capabilities of SnapDB include:

  • Automatic sharding to distribute data and queries across clusters
  • Replication and failover to ensure high availability
  • Integration with Hadoop and Spark for large-scale data processing
  • Tunable consistency models to balance performance and data accuracy
  • Rich query functionality and secondary indexes for low latency queries
  • Powerful aggregation pipeline and native support for analytics

SnapDB excels as an operational data store and analytical database for high performance apps. It can ingest, process and analyze semi-structured data at scale. Common use cases include IoT data workloads, metrics collection and monitoring, log analysis, and real-time analytics. SnapDB offers enterprise-grade capabilities as a NoSQL database with the scalability and flexibility benefits of a document store.

SnapDB Features

Features

  1. Distributed database architecture
  2. Automatic sharding
  3. Replication for high availability
  4. Tunable consistency
  5. Document data model
  6. Indexes for faster queries
  7. Aggregation framework
  8. Change streams
  9. BI connectors
  10. GraphQL API

Pricing

  • Open Source

Pros

High scalability and performance

Built-in replication and failover

Flexible schema design

Rich query language and aggregation

Open source with community support

Cons

Can be complex to deploy and manage

No declarative schema enforcement

Not ideal for complex transactions


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