parse-server vs apijson
Two of the top projects in Backends and databases, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
parse-server
Node.js backend with REST and GraphQL APIs on MongoDB or PostgreSQL
apijson
Java ORM that exposes CRUD APIs over JSON requests without per-endpoint code
Verdict
parse-server ranks higher, 66 to 46. Of the 5 score parts we measure for both, parse-server leads on 2, apijson on 1 and 2 are even.
- Adoptionparse-server leads by 19 points, 43 to 24: a wide gap.
- FreshnessEven at 100.
- Maintenanceapijson leads by 12 points, 90 to 78.
- Easy to runparse-server leads by 67 points, 67 to 0: a wide gap.
- Agent-readyEven at 0.
Pick parse-server if you are
Developers self-hosting a REST/GraphQL backend for mobile and web apps
- Runs standalone or embedded in an existing Express app
- Supports both MongoDB (7, 8) and PostgreSQL (16-18) with PostGIS
Pick apijson if you are
Java backend developers who want codeless CRUD APIs over SQL or NoSQL databases
- One JSON request can query several related tables, replacing multiple endpoint calls
- Many data sources listed: MySQL, PostgreSQL, Oracle, SQL Server, ClickHouse, Redis, Kafka, Elasticsearch
| What we compare | parse-server | apijson |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 43, known | 24, niche |
| Freshness | 100, active | 100, active |
| Maintenance | 78, fair | 90, healthy |
| Easy to run | 67, easy | 0, hard |
| Agent-ready | 0, none | 0, none |
| Facts from GitHub and the README | ||
| Stars | 21.4k | 18.4k |
| License | Apache-2.0 (permissive) | custom license (read the license) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | JavaScript | Java |
| Docker | Yes | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
parse-server
Parse Server is a self-hosted backend that runs on Node.js, either standalone via the parse-server CLI or mounted on an Express app. It exposes REST and GraphQL APIs backed by MongoDB or PostgreSQL (with PostGIS), and adds Cloud Code, Live Query, push notifications, file adapters and per-key access scopes. Official Parse SDKs cover the major client platforms.
Who it is for: Developers self-hosting a REST/GraphQL backend for mobile and web apps
Strengths
- Runs standalone or embedded in an existing Express app
- Supports both MongoDB (7, 8) and PostgreSQL (16-18) with PostGIS
- Includes Cloud Code, Live Query, GraphQL, push and pluggable file storage adapters
- Fine-grained access scopes: master, read-only master, session and maintenance keys
Weaknesses
- No built-in admin UI in this repo; a separate dashboard project is needed
- Requires you to provision and operate your own MongoDB or PostgreSQL
- Docker image must be built from the repo; README shows no prebuilt image or compose file
- Node.js version support is tied to specific majors and shifts with each release
- no GPU
- Docker
- Needs Node.js 20, 22 or 24, MongoDB 7/8 or PostgreSQL 16-18 with PostGIS
- port 1337
apijson
APIJSON is a Java library and JSON-based protocol. Clients send a JSON describing the tables and fields they want, and the server maps it to SQL and returns JSON in the same shape, so backend developers write no per-endpoint CRUD code. It covers reads, writes, fuzzy search and remote function calls, and ships with API docs and test tooling (APIAuto).
Who it is for: Java backend developers who want codeless CRUD APIs over SQL or NoSQL databases
Strengths
- One JSON request can query several related tables, replacing multiple endpoint calls
- Many data sources listed: MySQL, PostgreSQL, Oracle, SQL Server, ClickHouse, Redis, Kafka, Elasticsearch
- Added via Maven or Gradle through JitPack; works with Spring, SpringBoot, JFinal, Nutz
- Community ports listed for Go, C#, PHP, Node.js, Python and Rust
Weaknesses
- Java-centric; non-Java ports are separate third-party repositories with unknown maturity
- License is reported as NOASSERTION, so terms need checking before use
- README gives no setup steps for a standalone server; points to a separate demo repo
- Not AI-specific; it is a general ORM and API protocol
- no GPU
- Needs Java 1.8+, A supported database (e.g. MySQL 5.7+, PostgreSQL 9.5+)
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