eliasdb
EliasDB is a lightweight graph-based database with GraphQL support, a custom query language, and built-in scripting.
What is eliasdb?
EliasDB is a lightweight, graph-based database written in Go that stores data as interconnected nodes and edges. It provides built-in search, querying, and scripting capabilities, designed for projects requiring flexible graph data structures with minimal external dependencies. It can be embedded in Go applications or run as a standalone application with an HTTPS webserver.
Go developers building applications that need an embedded or standalone graph database with transactional support, full-text search, and GraphQL/EQL querying. It's also suitable for projects requiring extensibility through scripting for backend logic or database operation actions.
Developers choose EliasDB for its self-contained design with no external dependencies (except gorilla/websocket for GraphQL subscriptions), offering both an embeddable library and a standalone server. Its unique combination of a custom key-value store, GraphQL interface, EQL query language, and ECAL scripting interpreter provides a versatile, all-in-one solution for graph data management.
Overview
EliasDB a graph-based database.
Use Cases
Best For
- Embedding a transactional graph database within Go applications that require rule-based consistency management and data iteration.
- Building standalone applications that need a graph database with a built-in HTTPS webserver, REST API, and user management for web interfaces.
- Implementing projects requiring complex graph queries using both a custom SQL-like EQL language and a GraphQL interface for flexible data retrieval.
- Developing applications that need full-text search capabilities across all stored graph data for fast phrase lookups.
- Creating extensible backend systems where database operations (store, update, delete) require custom logic defined via the ECAL scripting interpreter.
- Running clustered database instances for distributed data storage and management, as EliasDB supports multiple instances in a cluster.
Not Ideal For
- Enterprises requiring robust, production-ready distributed clustering, as support is experimental and not fully stable.
- Teams standardized on graph query languages like Cypher or Gremlin, due to reliance on the proprietary EQL syntax.
- Projects needing extensive third-party integrations or ORM support across multiple programming languages, given its Go-centric design.
- Applications with massive datasets requiring horizontal scaling beyond lightweight, embedded solutions.
Pros & Cons
Pros
Built with minimal external dependencies—only gorilla/websocket for GraphQL subscriptions—making deployment straightforward and reducing maintenance overhead.
Offers both a GraphQL interface for flexible data retrieval and a custom EQL language for complex SQL-like queries, providing versatile querying options as highlighted in the features.
Can be embedded in Go applications with transactional support or run as a standalone app with a built-in HTTPS server, REST API, and user management, detailed in the getting started sections.
Includes the ECAL scripting interpreter for defining custom actions on database operations, enabling backend logic integration without external tools, as described in the scripting section.
Cons
Clustering support is marked as EXPERIMENTAL in the configuration options, indicating it's not yet stable for production use in distributed environments.
Relies on its own EQL query language, which requires learning a new syntax instead of leveraging industry standards like Cypher, potentially increasing the learning curve.
Primarily designed for Go applications; embedding is limited to Go, and there's no mention of native drivers for other languages, restricting cross-platform adoption.
Frequently Asked Questions
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