Dev tools · alternatives · 2026
24 alternatives to A benchmark for analytical databases (Snowflake, Druid, Redshift)
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:…
This benchmark tool evaluates over 20 analytical databases—including Snowflake, Druid, and Redshift—on a realistic dataset with standardized metrics. It provides installation and data loading scripts for each system… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. A benchmark for analytical databases (Snowflake, Druid, Redshift) launched in 2022; newer entries below may have overtaken it.
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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 →
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Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events. - hasura/graphql-engine
2018 · github.com · its alternatives →
- 3WH
2022 · memgraph.com · its alternatives →
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QuestDB▲194Fastest open source database for time-series and analytics
2020 · questdb.com · its alternatives →
- 5DD
Gleb, Alex, Erez and Simon here – we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a company, Datafold builds tools for data engineers to automate the most tedious and error-prone tasks falling through the cracks of the modern data stack, such as data testing and lineage. We launched two years ago with a tool for regression-testing changes to ETL code…
2022 · its alternatives →
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QuestDB live demo. Query three large datasets and more than 2 billion rows in milliseconds with SQL
2020 · try.questdb.io · its alternatives →
- 7PN
We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org
2022 · postgresml.org · its alternatives →
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SereneDBfree▲262Ultra-Fast Search & Analytics Database, Agentic AI ready
Sep 2026 · serenedb.com · its alternatives →
- 9
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
- 10HA
Hi all, we recently open sourced the first version of Hashquery, a Python library which lets you model analytics, DRY up common logic, and execute it against a database or warehouse. We were originally rendering SQL directly for all our queries, but that spiraled out of control with more complex analysis; the SQL needed to be changed sporadically for each new database dialect (BigQuery, Redshift, Aethena, Postgres, etc etc) and the SQL fragments were very challenging to reuse (and so fragments were copy-pasted all over). ~~~ Advantages we think it has over writing SQL by hand: - Queries are…
2024 · hashquery.dev · its alternatives →
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- 12SO
SQL OnLine - SQLite, DuckDB, PGLite, MariaDB / MySQL, PostgreSQL, MS SQL Server. AI error analysis, User-friendly interface for Data Science. No registration for start, No DownLoad, No Install. | sql compiler, federated queries, temporal query federation, BI Analytics
2025 · sqliteonline.com · its alternatives →
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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 →
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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 →
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- 17TA
2020 · terminusdb.com · its alternatives →
- 18
QoreDB▲95The fast, open-source database client built with Rust
Mar 2026 · qoredb.com · its alternatives →
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A distributed, fast open-source graph database featuring horizontal scalability and high availability - GitHub - vesoft-inc/nebula: A distributed, fast open-source graph database featuring horizontal scalability and high availability
2020 · github.com · its alternatives →
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All your analytics in a Redshift or Postgres DW in minutes
2015 · twilio.com · its alternatives →
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GraphQL for Postgres. Contribute to solidsnack/GraphpostgresQL development by creating an account on GitHub.
2015 · github.com · its alternatives →
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LBADD: An experimental, distributed SQL database. Contribute to tomarrell/lbadd development by creating an account on GitHub.
2019 · github.com · its alternatives →
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Hey HN! We are building Epsilla (https://github.com/epsilla-cloud/vectordb), an open-source, self-hostable vector database for semantic similarity search that specializes in low query latency. When do we need a vector database? For example, GPT-3.5 has a 16k context window limit. If we want to let it answer a question about a 300 page book, we cannot put the whole book content into the context. We have to choose the sections of the book that are most relevant to the question. Vector database is specialized at ranking and picking the most relevant content from a large pool…
2023 · 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 →