DSeries

DSeries

DSeries is an open-source, self-hosted database management software focused on high performance and scalability. It supports standard SQL and advanced features like sharding, replication, and distributed ACID transactions.
DSeries image
sql sharding distributed acid selfhosted

DSeries: Self-Hosted Database Management Software for High Performance & Scalability

An open-source database management software offering standard SQL support and advanced features like sharding, replication, and distributed ACID transactions.

What is DSeries?

DSeries is an open-source, self-hosted database management system designed for high performance and scalability across large datasets and high user loads. It is developed and maintained by an active community of developers and database experts.

Some key features of DSeries include:

  • Standard SQL support for familiar query language
  • Advanced database architecture with sharding and replication for horizontal scalability
  • Multi-master synchronous replication for high availability
  • Support for distributed ACID transactions across nodes
  • JSON document and time series data models in addition to relational tables
  • Powerful analytics functionality like aggregations and window functions built-in
  • Graph algorithms and machine learning capabilities via integration with popular libraries
  • Easy-to-use web UI for administration and monitoring

DSeries can be deployed on low-cost commodity hardware and is designed to scale out to handle large data volumes and high user concurrency. It can serve as a drop-in database solution for modern applications needing scalability and high throughput. The open-source model and active community make it customizable and extensible as needs evolve.

DSeries Features

Features

  1. High performance and scalability
  2. Support for standard SQL
  3. Sharding
  4. Replication
  5. Distributed ACID transactions

Pricing

  • Open Source

Pros

Open-source

Self-hosted

Advanced database management features

Scalable and high-performing

Cons

Complexity of setup and configuration

Steeper learning curve compared to traditional databases

Potential resource-intensive requirements for high-performance use cases


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