Db2rest is live · free · last verified 8 Nov 2026 · viability monitor

Db2rest

Db2rest

Db2Rest turns PostgreSQL, MySQL, MariaDB, CockroachDB, and SQLite into instant REST data APIs with no ORM.

66/100MonitorFreeFree

If your bottleneck is writing the same DAO layer for the fourth time, Db2Rest is a fast way to delete that work: one jar, five relational engines, no codegen. SQLite support in v1.6.5 means even local and embedded databases get endpoints. The tradeoff is real — you self-host, you scale it, and authentication beyond the Unkey integration is on you.

Verdict generated

Verified 5d ago · liveness 66/100 · cite: rightaichoice.com/tools/db2rest

Best for
  • Backend developers who want CRUD REST endpoints without writing a DAO layer
  • Frontend teams that need a working data API before backend work lands
  • Platform engineers standardizing REST access across several relational engines
  • GenAI developers wiring function tool calls to real database tables
Not ideal for
  • PostgreSQL-only stacks — PostgREST is a tighter fit for a single engine
  • Projects built on non-relational or document databases
  • Apps needing real-time streaming or WebSocket push instead of request/response REST
Visit Website

Beginner-friendlyDocumented path is about 10 minutes: install JDK 21+, download the single jar, export DB_URL / DB_USER / DB_PASSWORD, run java -jar, then confirm with the actuator health endpoint returning status UP. Realistic first value is under an hour for a developer on a known database. First value is longer if you are adding SSL certificate auth, multiple database connections, or Kubernetes deployment.APIAPI availableVerified 5d ago
Pricing
Free
FreeFree tier4 hidden costs
Learning curve
Beginner-friendly
Documented path is about 10 minutes: install JDK 21+, download the single jar, export DB_URL / DB_USER / DB_PASSWORD, run java -jar, then confirm with the actuator health endpoint returning status UP. Realistic first value is under an hour for a developer on a known database. First value is longer if you are adding SSL certificate auth, multiple database connections, or Kubernetes deployment.
Runs on
API
API available · 10 integrations
Who it's for
Backend developer on a multi-engine estateGenAI developer wiring function callingPlatform engineer standardizing database access
Live sentiment
Is Db2rest actually worth it?

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  • Real pros & cons from real users
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Skip it if

Skip Db2Rest if your stack is PostgreSQL-only, since PostgREST is built for exactly one engine, or if you need a managed control plane with SLAs rather than a jar and a JDK you have to operate yourself.

Skip-it-if note generated
The 30-second take
Biggest gripe

You supply the infrastructure - VM, container host, or Kubernetes cluster - plus the JDK 21 runtime and 2-4 GB RAM per instance, none of which is part of the software itself.

Price reality

Db2Rest is free and open source, which puts it in a different cost bracket to managed data-API products such as Supabase, where you pay monthly for hosting, dashboards, and SLAs. Against PostgREST - also free and open source - the comparison is fit rather than price: PostgREST covers one engine deeply, Db2Rest covers five. Your real budget line is the infrastructure and the engineer hours to run it.

Generated

In short

Db2rest — Db2Rest turns PostgreSQL, MySQL, MariaDB, CockroachDB, and SQLite into instant REST data APIs with no ORM. Best for Backend developers who want CRUD REST endpoints without writing a DAO layer, Frontend teams that need a working data API before backend work lands, Platform engineers standardizing REST access across several relational engines. Free to use.

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What is Db2rest?

Db2rest — Db2Rest turns PostgreSQL, MySQL, MariaDB, CockroachDB, and SQLite into instant REST data APIs with no ORM. Best for Backend developers who want CRUD REST endpoints without writing a DAO layer, Frontend teams that need a working data API before backend work lands, Platform engineers standardizing REST access across several relational engines. Free to use.

FreeBeginner-friendlyAPI availableAPI

Db2Rest is an open-source server that exposes relational databases as REST endpoints without a hand-written data access layer. Point it at PostgreSQL, MySQL, MariaDB, CockroachDB, or SQLite and it serves CRUD endpoints, custom SQL execution, stored-procedure calls, and implicit multi-table joins driven by the URL path. The pitch is blunt: database access logic eats roughly 30% of application development time, and deleting that work is the product. It skips ORM overhead by using MyBatis Dynamic SQL, so queries run in a single round-trip with database query caching and batching and no code generation or compilation step. Connection leaks, transactional inconsistency, and SQL injection are handled for you. Endpoint-level niceties include automatic TSID primary key generation, JSON and CSV bulk insert, sorting, filtering, existence queries, and pagination. Release history is steady. v1.6.5 landed July 19, 2025 and added SQLite, extending the tool to single-file local and embedded databases. Earlier versions layered in MariaDB, CockroachDB, Koyeb, Neon PostgreSQL, SSL certificate authentication, cross-schema and cross-catalog queries, views and materialized views, JSON insert, and Unkey API authentication. It runs on Java 21 with virtual threads for request scalability and ships as one executable jar deployable on bare metal, VMs, Docker, Kubernetes, or any cloud. It fits backend developers who want REST endpoints without a DAO, frontend teams that need a working data API before backend work lands, platform engineers standardizing access across several engines, and GenAI builders wiring function tool calls to real tables. It is self-hosted with no managed control plane, so you own deployment and scaling. PostgreSQL-only shops should weigh PostgREST, and teams that want a hosted dashboard and SLAs should weigh Supabase.

Key features

  • Instant REST API endpoints over PostgreSQL, MySQL, MariaDB, CockroachDB, and SQLite
  • No-code database access layer that removes boilerplate DAO code
  • CRUD operations exposed as HTTP REST endpoints
  • Custom SQL query execution over REST
  • Stored procedure and function invocation via API
  • Implicit multi-table joins driven by the URL path
  • Views and PostgreSQL materialized views served as endpoints
  • Bulk insert in JSON and CSV formats
  • Automatic TSID primary key generation
  • Sorting, filtering, existence queries, and pagination
  • Database query caching and batching
  • SSL certificate authentication for PostgreSQL and CockroachDB
  • Cross-schema and cross-catalog table queries
  • API authentication with Unkey
  • Health and metrics monitoring via actuator endpoint

Behind the verdict

Where Db2Rest earns its keep is the boring middle of a project: you have a schema, you need HTTP in front of it, and nobody wants to spend a sprint on repository classes. One executable jar plus a connection string gets you CRUD, filtering, pagination, and joins in minutes. We'd reach for it when the database is the contract and the data API is genuinely the only missing piece. The multi-engine story is the sharpest differentiator. Most instant-API tools pick one database and stay there; Db2Rest spans PostgreSQL, MySQL, MariaDB, CockroachDB, and SQLite from the same binary. For platform teams standardizing access across mixed estates or organizations modernizing legacy databases, that beats stitching three vendor-specific tools together. When to pass: if you're a PostgreSQL-only shop with simple read needs, PostgREST is leaner and battle-tested. If you want a hosted dashboard, per-user auth, and SLAs, Supabase is the obvious comparison and Db2Rest won't replace it. Caveats worth knowing before you commit. It's self-hosted only, so deployment, scaling, backups, and monitoring fall on you — the actuator health endpoint helps, but it isn't a control plane. API authentication is largely your problem beyond the Unkey integration. And the request/response REST model rules out real-time push or WebSocket streaming. In practice the 30x development claim is marketing, but the underlying idea holds: removing boilerplate DAO code is real engineering time back. Budget the self-hosting work honestly — a jar is easy to start and less easy to operate at scale. It also won't give you application-layer concerns like built-in user management or per-row permissions out of the box. Plan where authorization lives before you go live.

Limitations

  • Db2Rest is a self-hosted, open-source tool, so you manage deployment and scaling yourself; the site notes it can be installed on premises, bare-metal, VMs, Docker, Kubernetes, or any cloud.
  • It provides a code-free REST data access layer over PostgreSQL, MySQL, MariaDB, CockroachDB, and SQLite (SQLite added in v1.6.5).
  • API authentication is available via Unkey, but the evidence does not describe built-in user management or a full admin UI.
  • The project's own blog notes some features remain undocumented, so expect to consult the source for edge cases.

as of 2026-10-08

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Is Db2rest still active?

Db2rest is live · free · last verified 8 Nov 2026 · viability monitor.

Viability score

66/100
Monitor

How well maintained and how widely used is Db2rest? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
100
Site health
95
User sentiment
50
What the vendor publishes
20

Last calculated: November 2026

How we score →

What do users say about Db2rest?

What people actually say about Db2rest — is it worth it?

Our community sentiment research written Aug 14, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.

How we verified this

Every listed fact about Db2rest — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 8 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.

Verification history

We have re-verified Db2rest 14 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — changed SSL certificate
  2. — changed summary, description, pricing tiers, our verdict
  3. — changed pricing tiers, who should skip it, description, summary, our verdict, who it suits, features
  4. — changed limitations, platforms
  5. — changed setup time, description, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, summary, use cases
  6. — changed pricing tiers

Showing the 6 most recent of 14 verification passes.

Free to cite with attribution — this page re-verifies continuously.

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How much does Db2rest cost in 2026?

Db2rest: Free to use. Pricing last verified 8 Nov 2026.

Plans compared

Every published Db2rest tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.

Db2rest pricing plans compared
PlanPriceBillingWho it's for
Open SourceFree—Solo developers through platform teams who will run the jar or container themselves and want a data API layer without a software licence line item.Adds: Starting tier - Db2Rest is free and open source, so your cost is the infrastructure and the engineer hours to operate it, not a subscription.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • You supply the infrastructure - VM, container host, or Kubernetes cluster - plus the JDK 21 runtime and 2-4 GB RAM per instance, none of which is part of the software itself.
  • Self-hosting means you absorb patching, upgrades, backups, and on-call for the data API layer; there is no vendor operating it for you.
  • Because there is no built-in user management, adding per-user access control means bolting on Unkey or another identity layer yourself.
  • Running several relational engines through one instance concentrates risk in a single deployment, so you may end up paying for redundancy you would not have needed with per-engine tools.

Where the pricing makes sense

The company stage and team size where Db2rest's pricing actually pencils out — and where peers do it cheaper.

Db2Rest is free and open source, which puts it in a different cost bracket to managed data-API products such as Supabase, where you pay monthly for hosting, dashboards, and SLAs. Against PostgREST - also free and open source - the comparison is fit rather than price: PostgREST covers one engine deeply, Db2Rest covers five. Your real budget line is the infrastructure and the engineer hours to run it.

Hidden-cost and price-fit notes generated

Has Db2rest's pricing changed?

No plan price for Db2rest has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.

Who should pick Db2rest?

Pick Db2rest if you are Backend developers who want CRUD REST endpoints without writing a DAO layer, Frontend teams that need a working data API before backend work lands, Platform engineers standardizing REST access across several relational engines, GenAI developers wiring function tool calls to real database tables.

Look elsewhere if you are PostgreSQL-only stacks — PostgREST is a tighter fit for a single engine, Projects built on non-relational or document databases, Apps needing real-time streaming or WebSocket push instead of request/response REST, Teams that want a managed cloud platform with a hosted dashboard and SLAs.

Skip it if Skip Db2Rest if your stack is PostgreSQL-only, since PostgREST is built for exactly one engine, or if you need a managed control plane with SLAs rather than a jar and a JDK you have to operate yourself.

Generated

Real-world workflow fit

Concrete scenarios for the personas Db2rest actually fits — and what changes day-one when you adopt it.

Backend developer on a multi-engine estate

You have a PostgreSQL billing database and a legacy MySQL reporting database, and the frontend team needs both behind HTTP this sprint. You download the Db2Rest jar, set DB_URL, DB_USER, and DB_PASSWORD, start it with Java 21, add a second database connection for the MySQL instance, and hand the frontend two base URLs.

Outcome: CRUD endpoints for both engines are live within the first hour, and no DAO layer or ORM mapping was written for either.

GenAI developer wiring function calling

You are building an assistant that needs to read and write real table rows. You expose the target PostgreSQL table through Db2Rest, confirm the JSON insert and update shapes from the docs, and register those endpoints as function tool calls with Unkey API authentication in front.

Outcome: The model's tool calls hit real tables over HTTP, with SQL execution handled by the layer rather than by generated SQL from the model.

Platform engineer standardizing database access

Several teams are each hand-rolling their own data access code against different engines. You deploy Db2Rest on Kubernetes with actuator health checks wired into readiness probes, configure SSL certificate authentication for the PostgreSQL and CockroachDB clusters, and point teams at the documented endpoint conventions for filtering and pagination.

Outcome: One deployment pattern covers every relational engine in the estate, and health and metrics monitoring comes from the actuator endpoints you already probe.

Workflow scenarios generated

Use cases

  • Create a REST API endpoint from any PostgreSQL table in under 10 minutes.
  • Expose legacy MySQL database data securely to modern frontend applications.
  • Integrate GenAI tool calls with a database via REST for function calling.
  • Generate TSID-based primary keys automatically when inserting new records.
  • Invoke stored procedures and custom SQL queries through a standardized REST interface.
  • Serve a local SQLite file over HTTP for prototyping or embedded app data.
  • Run one data API layer across several relational engines instead of per-engine bridges.
  • Bulk load JSON or CSV records into a table through the REST API.

Setup time & first value

How long it actually takes to get something useful out of Db2rest — broken out by persona, not the marketing-page minute.

Documented path is about 10 minutes: install JDK 21+, download the single jar, export DB_URL / DB_USER / DB_PASSWORD, run java -jar, then confirm with the actuator health endpoint returning status UP. Realistic first value is under an hour for a developer on a known database. First value is longer if you are adding SSL certificate auth, multiple database connections, or Kubernetes deployment.

Switching to or from Db2rest

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From hand-written DAO or repository layer: point Db2Rest at the same database and replace the repository calls with the generated REST endpoints, keeping your entities and business logic unchanged.
  • →From PostgREST: move beyond a single PostgreSQL engine, since Db2Rest covers PostgreSQL, MySQL, MariaDB, CockroachDB, and SQLite from one deployment.
  • →From a per-engine bridge tool: consolidate several single-engine API tools into one Db2Rest instance with multiple database connections configured.
  • →From raw JDBC boilerplate: set the three environment variables and let Db2Rest handle connection pooling, transactions, and SQL injection concerns.
Migrating out
  • ↗To PostgREST: if you standardize on PostgreSQL only, PostgREST is built for a single engine and removes the multi-engine configuration you no longer need.
  • ↗To a managed data-API platform such as Supabase: if you want a hosted dashboard, user management, and SLAs instead of owning the deployment.
  • ↗To a full application framework with an ORM: if your team needs entity mapping, migrations, and admin UI in one stack rather than a standalone data API.

Integrations

PostgreSQLMySQLMariaDBCockroachDBSQLiteUnkeyDockerKubernetesKoyebNeon

Tutorials & Learning

YouTube returned 6 videos for “Db2rest”, and we withheld 6: 6 could not be judged, because “Db2rest” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Db2rest.

Official links

What are the best Db2rest alternatives?

The closest alternatives to Db2rest we list are TablePlus, ShannonBase and AppDeploy. Ranked by direct product-type match, not category overlap.

Closest alternatives to Db2rest
AlternativePricingStarts atLast verified
TablePlusPaidPricing not published—
ShannonBaseFreemiumPricing not published—
AppDeployFreemiumPricing not published—

Alternatives to Db2rest

View all
TablePlus

TablePlus

Native database GUI for MySQL, PostgreSQL, SQLite and more — buy a license once, use it forever

PaidTry
ShannonBase

ShannonBase

ShannonBase adds in-memory column store, vector search and in-database ML straight into a MySQL 8.4-wire database.

FreemiumTry
AppDeploy

AppDeploy

AppDeploy is an MCP server that turns a ChatGPT, Claude, or Copilot prompt into a live web app URL with hosting, auth, and a database already wired up.

FreemiumTry

Tools that pair well with Db2rest

Common stack mates teams adopt alongside Db2rest, with the specific reason each pairing earns its keep.

Db2rest vs its closest rival

Db2rest's closest head-to-head is with Spider Cloud.

Our Db2rest vs Spider Cloud verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.

Frequently asked questions

For makers of Db2rest

Used Db2rest? Help shape our editorial sentiment research.