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Dev tools · alternatives · 2026

24 alternatives to The Case for Distributed SQL Streaming Databases

Explore the evolution of SQL and stream processing in modern data architecture. Uncover the shift towards streaming databases for seamless real-time analytics.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. The Case for Distributed SQL Streaming Databases launched in 2024; newer entries below may have overtaken it.

  1. 1

    Connect your data, where you want it, in milliseconds

    2023 · estuary.dev · its alternatives →

  2. 2

    Stop treating the database as dumb storage and use its extended features. There's a lot you can use.

    2022 · sqlfordevs.com · its alternatives →

  3. 3PS

    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 →

  4. 4
    ShapedQL▲211

    The SQL engine for search, feeds, and AI agents

    Jan 2026 · its alternatives →

  5. 5

    LBADD: An experimental, distributed SQL database. Contribute to tomarrell/lbadd development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  6. 6

    I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…

    2022 · benchmark.clickhouse.com · its alternatives →

  7. 7

    Slava Akhmechet schools us on RethinkDB and the realtime web

    2015 · changelog.com · its alternatives →

  8. 8
    TABLUM.IO▲159

    Turn CSV, XML & JSON into a live analysis-ready SQL database

    2023 · tablum.io · its alternatives →

  9. 9

    A look at modern database approaches and how Citus scales PG

    2016 · softwareengineeringdaily.com · its alternatives →

  10. 10

    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 →

  11. 11

    Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, which completed the roundtrip between thinking of array data in a tabular model simultaneously as gridded rasters (the premise of the project is that every Nd array can be mapped to 2d, where orthogonal dims of the Nd array are just primary keys of a tabular representation). We discussed in chat, now that this feature existed, what demos could we make that would prove this data model works? With…

    Jul 2026 · github.com · its alternatives →

  12. 12

    Making databases simple again

    2014 · its alternatives →

  13. 13

    Realtime analytics database

    2014 · its alternatives →

  14. 14

    Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory! DuckDB also supports a rich ecosystem of sinks and connectors! https://sql-flow.com/docs/category/tutorials/ https://github.com/turbolytics/sql-flow We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors I would love your feedback, criticisms and/or…

    Dec 2025 · sql-flow.com · its alternatives →

  15. 15

    Hey HN, Arroyo is a modern, open-source stream processing engine, that lets anyone write complex queries on event streams just by writing SQL—windowing, aggregating, and joining events with sub-second latency. Today data processing typically happens in batch data warehouses like BigQuery and Snowflake despite the fact that most of the data is coming in as streams. Data teams have to build complex orchestration systems to handle late-arriving data and job failures while trying to minimize latency. Stream processing offers an alternative approach, where the query is compiled into a streaming…

    2023 · github.com · its alternatives →

  16. 16RT

    We have been involved in a number of real time streaming projects using tools such as Flink, Spark Streams and Kafka Streams backed by "real time" databases such as Druid. We always found these projects quite complex to develop and run, with stream processing in particular being a bit of a dark art. A stream to stream join in Flink can get quite mind bending for instance. In 2020 we had the idea of building a low code SaaS product for real time streaming analytics. The first attempt failed due to being a little over-engineered and with too many changes of direction, but over the last few…

    2021 · its alternatives →

  17. 17
    Datomic▲73

    Distributed immutable transactional database for the cloud

    2014 · datomic.com · its alternatives →

  18. 18IM
  19. 19
    Nazar▲23

    Discover your most time consuming queries.

    2017 · nazar.ai · its alternatives →

  20. 20

    For a while now I had the urge to learn how to pick the "right" database for projects, I looked around online at different databases to try to understand their different traits, and was bombarded with marketing instead of actual info on the advantages and drawbacks. The only solution for me was to learn some database internals (I read the wonderful book written by Alex Petrov), and the problems seemed so interesting, I could not fight the urge and went ahead with trying to write my own db. Anyway, ~9 months have passed and I feel like I'm "done", I have learned a ton, and really proud of…

    2024 · github.com · its alternatives →

  21. 21HE
  22. 22WW

    Restructure your knowledge of the complex data analytics landscape, and learn how to build scalable analytics & BI stacks in the modern cloud era

    2020 · holistics.io · its alternatives →

  23. 23

    Read expert whitepapers on BI, data analytics, and AI. Gain valuable insights and strategies for leveraging data to drive business success.

    2015 · periscope.io · its alternatives →

  24. 24

    A general-purpose data analysis engine radically changing the way batch and stream data is processed - bistro/server at master · asavinov/bistro

    2018 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →