How to install EJDB2 on Windows?

EJDB2 supports Windows, but building from sources requires a C compiler like gcc or clang and pkgconf; the README provides build scripts for Unix-like systems, so on Windows, you may need to adapt using MSYS2 or Visual Studio with the source code.

EJDB2 vs SQLite for JSON data?

EJDB2 is specialized for JSON documents with native JQL querying and indexing, while SQLite offers relational tables with JSON extensions. EJDB2 provides better performance for JSON-centric operations, but SQLite has wider SQL support and a larger ecosystem.

How to perform collection joins in EJDB2?

Use JQL syntax like '/field<collection' where 'field' contains primary keys; the README shows examples with artists and paintings collections, materializing linked documents directly in query results.

What are EJDB2 performance benchmarks?

The README doesn't provide benchmarks, but it notes that indexing can improve query speed for specific operators, and performance depends on factors like collection size and index configuration, so testing with your data is recommended.

Can EJDB2 handle concurrent writes safely?

Yes, it supports write-ahead logging (WAL) for durability, and the C API includes locking mechanisms, but for high-concurrency scenarios, it's designed for embedded use and may require careful tuning to avoid bottlenecks.

How to backup an EJDB2 database online?

EJDB2 supports online backups without downtime via its built-in features; you can use the 'jbs' server tool or C API to create live backups while the database is running, as mentioned in the key features section.

EJDB — Embeddable JSON Database Engine

Q: What are EJDB2 performance benchmarks?

The README doesn't provide benchmarks, but it notes that indexing can improve query speed for specific operators, and performance depends on factors like collection size and index configuration, so testing with your data is recommended.

Q: Can EJDB2 handle concurrent writes safely?

Yes, it supports write-ahead logging (WAL) for durability, and the C API includes locking mechanisms, but for high-concurrency scenarios, it's designed for embedded use and may require careful tuning to avoid bottlenecks.

Q: How to backup an EJDB2 database online?

EJDB2 supports online backups without downtime via its built-in features; you can use the 'jbs' server tool or C API to create live backups while the database is running, as mentioned in the key features section.

What is EJDB?

EJDB2 is an embeddable JSON database engine implemented as a C library, allowing developers to store, query, and manage JSON documents directly within their applications. It solves the need for a lightweight, self-contained database with a powerful query language (JQL) for filtering, updating, and joining JSON data without requiring a separate database server.

Target Audience

C/C++ developers building embedded systems, IoT applications, or server-side services that require efficient, in-process JSON document storage with query capabilities.

Value Proposition

Developers choose EJDB2 for its simplicity as a single-file embeddable database, its expressive JQL query language reminiscent of XPath, and its performance with configurable indexes—all while avoiding external dependencies.

:snowboarder: EJDB2 — Embeddable JSON Database engine C library. Simple XPath like query language (JQL).

Use Cases

Best For

Embedding a JSON database within C/C++ applications without external processes
Building lightweight IoT or edge computing devices with local JSON storage
Developing server-side services that need fast, indexed JSON querying
Prototyping or small projects requiring a simple, file-based JSON database
Creating REST or WebSocket APIs for JSON document management
Applications needing collection joins and complex JSON queries in an embedded context

Not Ideal For

Teams building distributed systems requiring horizontal scalability, as EJDB2 is designed for single-node, embedded use without built-in clustering.
Applications needing full SQL compliance or complex relational algebra, since JQL is JSON-specific and lacks features like subqueries or ACID transactions.
Projects where primary development is in high-level languages like Python or JavaScript without C bindings, due to its core C API requiring significant integration effort.
Scenarios requiring real-time analytics with advanced aggregation functions, as EJDB2 focuses on document storage and basic querying rather than built-in analytics.

Pros & Cons

Pros

Embeddable Simplicity

EJDB2 is a single-file database engine that integrates directly into C/C++ applications without external dependencies, making deployment straightforward, as highlighted in its GitHub description.

Powerful JQL Language

The JQL query language supports complex filtering, projections, sorting, and collection joins with an XPath-like syntax, detailed in the README with extensive examples for real-world use cases.

Configurable Indexing

Indexes on JSON fields optimize query performance for equality, range, and prefix matching, and the README provides heuristics for when to use indexes versus brute-force scans.

Built-in Network APIs

Includes HTTP REST and WebSocket endpoints with token-based authentication, enabling remote database access without additional server setup, as demonstrated in the network API section.

Cons

Limited Index Support

Indexes only benefit specific query operators (e.g., eq, in), and the README admits that in some cases, brute-force scans may perform better, adding complexity to query optimization.

C-Centric Integration Barrier

The core API is in C, requiring low-level memory management and making it cumbersome for developers in high-level language ecosystems without existing bindings or expertise.

Scalability and Feature Gaps

As a single-file embedded database, it lacks features for distributed data, high concurrency, or advanced transactions, which could limit use in large-scale production environments.

What is EJDB?

Target Audience

C/C++ developers building embedded systems, IoT applications, or server-side services that require efficient, in-process JSON document storage with query capabilities.

Value Proposition

Use Cases

Best For

Embedding a JSON database within C/C++ applications without external processes
Building lightweight IoT or edge computing devices with local JSON storage
Developing server-side services that need fast, indexed JSON querying
Prototyping or small projects requiring a simple, file-based JSON database
Creating REST or WebSocket APIs for JSON document management
Applications needing collection joins and complex JSON queries in an embedded context

Not Ideal For

Teams building distributed systems requiring horizontal scalability, as EJDB2 is designed for single-node, embedded use without built-in clustering.
Applications needing full SQL compliance or complex relational algebra, since JQL is JSON-specific and lacks features like subqueries or ACID transactions.
Projects where primary development is in high-level languages like Python or JavaScript without C bindings, due to its core C API requiring significant integration effort.
Scenarios requiring real-time analytics with advanced aggregation functions, as EJDB2 focuses on document storage and basic querying rather than built-in analytics.

Pros & Cons

Pros

Embeddable Simplicity

EJDB2 is a single-file database engine that integrates directly into C/C++ applications without external dependencies, making deployment straightforward, as highlighted in its GitHub description.

Powerful JQL Language

The JQL query language supports complex filtering, projections, sorting, and collection joins with an XPath-like syntax, detailed in the README with extensive examples for real-world use cases.

Configurable Indexing

Indexes on JSON fields optimize query performance for equality, range, and prefix matching, and the README provides heuristics for when to use indexes versus brute-force scans.

Built-in Network APIs

Includes HTTP REST and WebSocket endpoints with token-based authentication, enabling remote database access without additional server setup, as demonstrated in the network API section.

Cons

Limited Index Support

Indexes only benefit specific query operators (e.g., eq, in), and the README admits that in some cases, brute-force scans may perform better, adding complexity to query optimization.

C-Centric Integration Barrier

The core API is in C, requiring low-level memory management and making it cumbersome for developers in high-level language ecosystems without existing bindings or expertise.

Scalability and Feature Gaps

As a single-file embedded database, it lacks features for distributed data, high concurrency, or advanced transactions, which could limit use in large-scale production environments.

EJDB

What is EJDB?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

EJDB

What is EJDB?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?