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OriginChainDB vs PostgreSQL

PostgreSQL or
OriginChainDB?

PostgreSQL offers SQL and transactions, with vector search through pgvector. OriginChainDB offers separate SQL, vector, graph and full-text APIs. Compare the queries your app needs.

Compare the basics Talk to our team
A task to try
Connect similar items to their current stock records.

Start here

Which fits your app?

Our view: choose based on what your app needs to do.

Consider PostgreSQL when

You depend on PostgreSQL’s SQL, transactions, extensions and existing tools.

Read the docs
Consider OriginChainDB when

You want graph and search APIs alongside SQL, and can test the different engine’s behaviour.

Explore the database

Side by side

Compare the basics.

Features from the linked docs. Test speed and cost with your own data.

Scroll sideways to compare both databases.

What to comparePostgreSQLOriginChainDB
SQL queries

Supports complex queries, foreign keys, triggers, views, transactions and extensions.

Source: PostgreSQL overview

Supports documented SQL operations. Check the exact queries and tools you need.
Vector search

pgvector stores embeddings in PostgreSQL and supports exact and approximate searches.

Source: pgvector documentation

Use the vector API and connect results to records by ID. Your app coordinates the writes.
Transactions

pgvector works with PostgreSQL joins and transactions. Vectors can live in ordinary tables.

Source: pgvector documentation

A SQL transaction does not automatically include calls to vector, graph or full-text APIs.

Try it with your data

Recommend an item that is in stock.

Try the same task in both systems. Use the same data and judge the full result.

The question

Which similar items can this customer buy?

  1. 01

    Use the same records

    Load the same products, stock, regions and embeddings. Keep their IDs connected.

  2. 02

    Find available matches

    Search for similar items and apply stock and region rules.

  3. 03

    Change the stock

    Update availability during the test. Check that the final results meet your freshness needs.

What to check

Correct matches

Check similarity, stock and region together.

Transaction needs

Identify which reads and writes must succeed or fail together.

App effort

Compare query code, retries and work needed to keep data in step.

Before you move data

Plan your move.

Copy the data. Then check your queries, access rules and updates before switching.

Explore Migrate Check compatibility

  1. List database features

    Check the types, extensions, functions and constraints your app uses. A working connection is not enough.

  2. Test your SQL

    Replay real queries and tool-generated migrations. Include errors, rollbacks and simultaneous updates.

  3. Plan search updates

    Map embeddings and text indexes to the target APIs. Check completeness and retry behaviour.

Common questions.

Do I need a separate vector database to use PostgreSQL?

No. The pgvector extension stores and searches vectors inside PostgreSQL. Test whether it meets your app’s needs.

Does PostgreSQL wire compatibility mean every extension works?

No. A compatible connection does not reproduce PostgreSQL’s engine or extensions. Test the features your app uses.

Sources

Check the details.

Reviewed

Features vary by version and setup. Check the docs for the version you plan to use.

Build with OriginChainDB

Let's look at what your app needs.

Compare the basics Talk to our team