Dev tools · alternatives · 2026
24 alternatives to SereneDB
Ultra-Fast Search & Analytics Database, Agentic AI ready
SereneDB is an open-source database that combines full-text, vector, and hybrid search with fast SQL analytics in a single engine. It maintains PostgreSQL and Elasticsearch compatibility, allowing users to eliminate… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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The First Real-Time Search Analytics Database. Contribute to serenedb/serenedb development by creating an account on GitHub.
May 2026 · github.com · its alternatives →
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QuestDB▲194Fastest open source database for time-series and analytics
2020 · questdb.com · its alternatives →
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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 →
- 4OA
Yo. OtterTune is a database optimization service. It uses machine learning to automatically tune your MySQL and Postgres configuration (i.e., RDS parameter groups) to improve performance and reduce costs. It does this by only looking at your database's runtime metrics (e.g., INNODB_METRICS, pg_stat_database, CloudWatch). We don't need to examine sensitive queries or user tables. We spun this project out of my research group at Carnegie Mellon University in 2020. This week we've announced that OtterTune is now available to the public. We are offering everyone a starter account to try it out…
2021 · 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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Making Postgres and Elasticsearch work together like it's 2023 - zombodb/zombodb
2015 · github.com · its alternatives →
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Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too. The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our…
Mar 2026 · github.com · its alternatives →
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The First Real-Time Search Analytics Database. Contribute to serenedb/serenedb development by creating an account on GitHub.
May 2026 · github.com · its alternatives →
- 10SP
Step into the future with Searchbase Cloud's AI-enhanced search capabilities. Effortless to integrate, intuitive to use, and built for insightful discoveries. Transform your data into action with the smartest search on the market. Join the revolution.
2024 · searchbase.dev · 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 →
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InstantDB▲320Complete backend with auth and storage in one prompt
Apr 2026 · instantdb.com · its alternatives →
- 13EA
2019 · easydb.io · its alternatives →
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Metabase▲313Open source business intelligence - Installs in 5 minutes
2015 · metabase.com · its alternatives →
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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 →
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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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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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A strongly-typed document database that runs on any transactional key-value store. - losfair/RefineDB
2021 · github.com · its alternatives →
- 20CH
Hi HN! We're thrilled to share CozoDB v0.6, a monumental update to our FOSS database, which already unifies relational and graph features. With the addition of vector search, CozoDB becomes an even better companion for LLMs like ChatGPT. This release introduces vector search using HNSW indices within Datalog, enabling seamless integration with powerful features such as ad-hoc joins, recursive Datalog, and classical whole-graph algorithms. This update significantly broadens CozoDB's capabilities. Check out the linked release note for an in-depth look at the new features, comparisons to other…
2023 · docs.cozodb.org · its alternatives →
- 21FA
2017 · fauna.com · its alternatives →
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Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…
Jun 2026 · github.com · its alternatives →
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dejavu▲90A modern, open-source data browser for Elasticsearch.
2016 · opensource.appbase.io · its alternatives →
Also compare
- SereneUI – A VSCode-inspired, open-source UI for Postgres alternatives
- QuestDB alternatives
- HelixDB – Open-source vector-graph database for AI applications (Rust) alternatives
- OtterTune – Automated Database Tuning Service for RDS MySQL/Postgres alternatives
- Hydra 1.0 – open-source column-oriented Postgres alternatives
- ZomboDB – Postgres extension for indexes backed by Elasticsearch alternatives
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 →