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Dev tools · alternatives · 2026

1R

This is a development tool that enables fast data transfer from PostgreSQL databases to Python at speeds of 1 million rows per second. It is designed for developers and data scientists who need to efficiently move… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. 1M rows/s from Postgres to Python launched in 2016; newer entries below may have overtaken it.

  1. 1

    PgQueuer is a Python job queue that uses PostgreSQL for everything — queue storage, locking, notifications. No Redis, no RabbitMQ, no separate broker to operate. If your app already has Postgres, you already have the broker. After ~2 years and 26 minor releases, 1.0 ships today as the first stable release. Strict semver from here on. Thanks to everyone who contributed and left feedback!

    2024 · github.com · its alternatives →

  2. 2

    I wrote a relational database management system (RDBMS) (sqlite clone) from scratch in pure Python.

    2023 · github.com · its alternatives →

  3. 3
    PeerDB▲110

    Fast, native ETL for Postgres

    2023 · peerdb.io · its alternatives →

  4. 4

    Your home for data science and AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

    2019 · towardsdatascience.com · its alternatives →

  5. 5
    bit.io▲130

    All your data in one place

    2021 · its alternatives →

  6. 6

    Vectorized executor to speed up PostgreSQL. Contribute to citusdata/postgres_vectorization_test development by creating an account on GitHub.

    2014 · github.com · its alternatives →

  7. 7

    Hey! I'm Andrei. I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books. So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction. Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instances can give you. And I've built a tool to visualize this data, which I welcome you to explore. So,…

    Jul 2026 · postgres.saneengineer.com · its alternatives →

  8. 8

    Move all the Airtable data to your SQL database in 1 click

    2021 · uibakery.io · its alternatives →

  9. 9

    Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  10. 10

    hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…

    2023 · hydra-so.notion.site · its alternatives →

  11. 11

    Hey HN! Lev and Justin here, authors of PgDog (https://pgdog.dev/), a connection pooler, load balancer and database sharder for PostgreSQL. If you build apps with a lot of traffic, you know the first thing to break is the database. We are solving this with a network proxy that works without requiring application code changes or database migrations. Our post from last year: https://news.ycombinator.com/item?id=44099187 The most important update: we are in production. Sharding is used a lot, with direct-to-shard queries (one shard per query) working pretty much…

    Feb 2026 · github.com · its alternatives →

  12. 12PS

    Hello HN, I am Sai Srirampur, one of the Co-founders of PeerDB. (https://github.com/PeerDB-io/peerdb). We spent the past 7 months building a solid experience to replicate data from Postgres to data warehouses. Now we're expanding to queues. PeerDB Streams provides a simple and native way to replicate changes as they happen in Postgres to Queues (Kafka, Redpanda, Google PubSub, etc). We use Postgres logical decoding to enable Change Data Capture (CDC). Blog post here: https://blog.peerdb.io/peerdb-streams-simple-native-postgres.... 10-min quickstart here:…

    2024 · its alternatives →

  13. 13QG
  14. 14

    Import CSV and JSON into PostgreSQL the easy way. Contribute to lukasmartinelli/pgfutter development by creating an account on GitHub.

    2015 · github.com · its alternatives →

  15. 15

    Simpler, faster, better, less work

    Jul 2026 · 4281871326947.gumroad.com · its alternatives →

  16. 16

    Hi HN - DBOS CEO here with the co-founders of DBOS, Peter (KraftyOne) and Qian (qianli_cs). The company started as a research project of Stanford and MIT, and Peter and Qian were advised by Mike Stonebreaker, the creator of Postgres, and Matei Zaharia, the creator of Spark. They believe so strongly in reliable, serverless compute that they started a company (with Mike) to bring it to the world! Today we want to share our brand new Python library providing ultra-lightweight durable execution. https://github.com/dbos-inc/dbos-transact-py Durable execution means your program…

    2024 · github.com · its alternatives →

  17. 17

    Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…

    2024 · github.com · its alternatives →

  18. 18

    Serverless shareable Postgres database in literally seconds

    2022 · its alternatives →

  19. 19

    Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events. - graphql-engine/community/tools/json2graphql at master · hasura/graphql-engine

    2019 · github.com · its alternatives →

  20. 20AT

    A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…

    2022 · its alternatives →

  21. 21

    A lightweight database with Python syntax queries, using ZeroMQ - asrp/pyzdb

    2017 · github.com · its alternatives →

  22. 22

    Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events. - graphql-engine/community/tools/firebase2graphql at master · hasura/graphql-engine

    2018 · github.com · its alternatives →

  23. 23

    Free, out-of-the-box utilities to help with common frontend and backend tasks.

    2021 · retool.com · its alternatives →

  24. 24CO

    Thought i'd share some recent work i'd done after being generally frustrated as to the available analytics for Python modules. Most seem to be either limited in time or incur charges to query. Code is Apache 2 at https://github.com/clickHouse/clickpy The downloads for Python modules are actually available in BigQuery - a row for every package download in the world. Last time i checked it's the largest BigQuery public dataset at almost 700b rows. Wanting to do some serious analytics led to a few frustrations though: - speed for queries - BigQuery is great for complex SQL,…

    2023 · clickpy.clickhouse.com · its alternatives →

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