Dev tools · alternatives · 2026
24 alternatives to A modern, high-performance, real-time OLAP database
It looks awesome about this OLAP database Apache Doris is an easy-to-use, high-performance and real-time analytical database based on MPP architecture, known for its extreme speed and ease of use. It only requires a sub-second response time to return query results under massive data and can support not only high-concurrent point query scenarios but also high-throughput complex analysis scenarios.
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 modern, high-performance, real-time OLAP database launched in 2022; newer entries below may have overtaken it.
- 1
- 2
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 →
- 3
Apache Cloudberry 2.0.0 has been released - the first official release under the Apache Software Foundation. Key highlights: * Built on PostgreSQL 14.x with distributed query processing * Dynamic Tables: automatic, scheduled refresh of query results for real-time analytics * PAX storage format: hybrid row/column storage for better OLAP performance * ASF-compliant updates on dependencies, LICENSE/NOTICE/DISCLAIMER files Apache Cloudberry is derived from PostgreSQL and the last open-source Greenplum Database. It provides massively parallel processing (MPP) capabilities for…
2024 · github.com · its alternatives →
- 4
SereneDBfree▲262Ultra-Fast Search & Analytics Database, Agentic AI ready
Sep 2026 · serenedb.com · its alternatives →
- 5
On-demand virtual warehouse to run ad hoc queries in 30 secs
2024 · datazip.io · its alternatives →
- 6
Metabase▲313Open source business intelligence - Installs in 5 minutes
2015 · metabase.com · its alternatives →
- 7
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 →
- 8
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 →
- 9
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 →
- 10
QuestDB▲194Fastest open source database for time-series and analytics
2020 · questdb.com · its alternatives →
- 11
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 →
- 12
- 13
Next-gen massive data integration framework
2022 · seatunnel.apache.org · its alternatives →
- 14
GreptimeDB▲72Open-source database for large-scale time-series data
2022 · greptime.com · its alternatives →
- 15
- 16
- 17IB
upscaledb - a blazingly fast embedded key-value store with analytical functions
2016 · upscaledb.com · its alternatives →
- 18
Hey HN! We’re Emma and Chris, founders of Velvet (https://www.usevelvet.com). Velvet proxies OpenAI calls and stores the requests and responses in your PostgreSQL database. That way, you can analyze logs with SQL (instead of a clunky UI). You can also set headers to add caching and metadata (for analysis). Backstory: We started by building some more general AI data tools (like a text-to-SQL editor). We were frustrated by the lack of basic LLM infrastructure, so ended up pivoting to focus on the tooling we wanted. So many existing apps, like Helicone, were hard to use as power…
2024 · usevelvet.com · its alternatives →
- 19
- 20HO
hi hn, hydra ceo here hydra is an open-source extension that adds columnar tables to Postgres for efficient analytical reporting. With Hydra, you can analyze billions of rows instantly without changing code. demo video (5 min): https://youtu.be/1yzxgb0Oyrw github repo: https://github.com/hydradatabase/hydra For 1.0 GA release, aggregate queries are over *60% faster* than Hydra beta due to aggregate vectorization. Spatial indexes (gin, gist, spgist, and rum indexes) and pg_hint_plan are now enabled for performance optimization. postgres is great, but…
2023 · hydra.so · its alternatives →
- 21
Hi HN! This is an early proof of concept of a branchable, versioned OLTP + OLAP database that runs on a single, open copy of your data in object storage. If you are familiar with Databricks' LTAP (https://www.databricks.com/company/newsroom/press-releases/d...) announcement from June, you can think of this as aspiring to be a fully open source, Apache 2.0 LTAP alternative with additional data versioning/auditability guarantees that enable audit, as_of queries, and (eventually) revert straight out of the box. How it works: 1. Writes land in vanilla postgres…
Jul 2026 · github.com · its alternatives →
- 22OO
Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io · its alternatives →
- 23
HelixDB▲105An open-source OLTP graph-vector database built in Rust.
Feb 2026 · helix-db.com · its alternatives →
- 24
Fast time-series extension for PostgreSQL. Contribute to xataio/deltax development by creating an account on GitHub.
May 2026 · github.com · its alternatives →
Also compare
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 →