Starbase

Starbase

Starbase is an open source graph database that is focused on scalability and performance. It is optimized for storing network and graph structured data and allows running complex queries to explore connections in the data.
Starbase image
graph database open-source scalable performance

Starbase: Open Source Graph Database

Open source graph database focused on scalability, performance, network and graph structured data storage, and complex query capabilities for exploring connections.

What is Starbase?

Starbase is an open source graph database that is optimized for scalability, availability, and performance when working with highly connected data. It utilizes a distributed architecture that can scale to multiple nodes to support large datasets and high query workloads.

Some key capabilities and benefits of Starbase include:

  • Stores data based on connections between entities, optimized for querying and traversing networked information.
  • Delivers high performance for data-intensive graph workloads with complex joins and traversals.
  • Scales horizontally across commodity servers to handle vast amounts of highly interconnected data.
  • Supports high availability with automatic failover and recovery.
  • Offers native integration with popular big data frameworks like Apache Spark for analytics.
  • Enables exploration of connections in data through declarative querying, path matching, and algorithm execution.
  • Simplifies modeling with a flexible property graph data model.

Starbase is well suited for connected data applications such as fraud detection, customer 360 analytics, network analytics, real-time recommendations, master data management, and more. Its graph capabilities allow businesses to quickly reveal insights about patterns and relationships within highly complex data.

Starbase Features

Features

  1. Graph database optimized for storing network and graph structured data
  2. Scalable and high performance
  3. Supports complex graph queries and traversals
  4. Built for online transaction processing (OLTP) workloads
  5. Native support for joins
  6. ACID transactions
  7. Data compression
  8. Columnar storage
  9. Query planner and optimizer
  10. Role based access control (RBAC)

Pricing

  • Open Source

Pros

Highly scalable and performant

Flexible data model for connected data

Powerful query language

Open source with Apache 2 license

Can handle complex graph algorithms

Designed specifically for graph workloads

Cons

Limited ecosystem compared to more established graphs databases

Still maturing technology

Limited options for visualization and analytics

Not as feature rich as some commercial graph databases


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