ArcadeDB vs LadybugDB

ArcadeDB is an open-source database engine that stores graph, document, key-value, full-text search, vector, and time-series data together. The database is free for any use under the Apache 2.0 license, with no usage limits or feature restrictions, and states that it provides full ACID transactions on single-node and distributed deployments. Query options include SQL, OpenCypher 25, Gremlin, GraphQL, MongoDB query language, and a native Java API. ArcadeDB can run inside Java applications or as a standalone server, with installation options including Docker, a GitHub binary, Maven, and Kubernetes. ArcadeDB Server supports HTTP/JSON and compatibility with Postgres wire protocol, Redis, and MongoDB protocols. Built-in importers cover Neo4j and OrientDB, and the maker says Raft consensus maintains consistency across multiple servers. The Community plan is free forever and includes forums, GitHub Issues, documentation, and tutorials. Paid support starts at $299 a month per server, with response targets and coverage varying by plan. A separate Studio AI Assistant license costs $19.99 a month.

LadybugDB is an embedded columnar graph database for analytical workloads and agentic applications. It uses Cypher with a structured property graph model and can run on disk or in memory; in-memory data is lost when the process ends. Its query engine uses columnar disk storage, vectorized and factorized processing, multi-core parallelism, and join algorithms. Transactions are atomic, durable, and serializable. The project distributes source code and precompiled binaries under the MIT License, which permits commercial and proprietary applications. Imports support Parquet, CSV, JSON, NumPy, Pandas or Polars DataFrames, and PyArrow Tables. Official client APIs are listed for Python, Node.js, Java, Rust, Go, Swift, C, and C++, alongside a command-line interface. Ladybug Explorer provides a browser-based way to query and visualize a database, and the MCP Server exposes a database to LLMs and agents. Extensions cover sources and systems including Azure storage, Delta Lake, DuckDB, Iceberg, PostgreSQL, and vector similarity search. Concurrent access permits one read-write Database object or multiple read-only objects; multiple processes needing writes should use an API server pattern.