Liveset Database

Liveset Database

Liveset Database is an open-source database management system designed for speed and scalability. It uses a distributed architecture to handle large volumes of data and transactions.
Liveset Database image
opensource database management distributed

Liveset Database: Open-Source DBMS for Speed & Scalability

Liveset Database is an open-source database management system designed for speed and scalability. It uses a distributed architecture to handle large volumes of data and transactions.

What is Liveset Database?

Liveset Database is an open-source, distributed database management system designed to handle large volumes of data and transactions with high performance and scalability. It is built using a shared-nothing architecture that allows it to run on clusters of commodity hardware.

Some key features of Liveset Database include:

  • Horizontal scalability - It can scale to handle increasing data volumes and transactions by adding more nodes to the cluster.
  • High availability - It replicates data across nodes to prevent data loss and uses automatic failover to ensure continuity of operations.
  • SQL support - It supports SQL for performing standard relational database operations while providing NoSQL capabilities.
  • Cloud native - It is designed to run optimally on public clouds and container orchestration platforms like Kubernetes.
  • Real-time analytics - It provides real-time analytical capabilities to enable analysis of live operational data.

Liveset Database is well-suited for large-scale, data-intensive applications that require high throughput and low latency. It is used to power internet-scale applications across diverse industries like financial services, e-commerce, IoT, and more.

Liveset Database Features

Features

  1. Distributed architecture
  2. Sharding for scalability
  3. Multi-master replication
  4. Strong consistency
  5. Tunable consistency
  6. Automatic failover
  7. JSON documents
  8. Key-value store
  9. Indexing and query
  10. MapReduce
  11. Real-time analytics

Pricing

  • Open Source

Pros

High performance

Scalable

High availability

Flexible data model

Open source

Cons

Complex to operate

Limited ecosystem

Steep learning curve


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