Growth · alternatives · 2026
24 alternatives to A globally distributed, cross-region/cloud DB in 25 regions in 40s
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Macrometa is a distributed database designed to operate across multiple regions and cloud providers, with presence in 25 geographic locations. It enables applications to achieve global data distribution in under 40… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A globally distributed, cross-region/cloud DB in 25 regions in 40s launched in 2019; newer entries below may have overtaken it.
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Macrometa▲98Build real-time apps and APIs in minutes - not months
2022 · macrometa.com · its alternatives →
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Haimeta▲396Create stunning images, vivid videos, and lifelike 3D assets
2025 · haimeta.com · its alternatives →
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Metabase▲313Open source business intelligence - Installs in 5 minutes
2015 · metabase.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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Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.
2015 · metabase.com · its alternatives →
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Prisma Cloud is the most complete Cloud Native Application Protection Platform (CNAPP) for code to cloud security in any cloud, multicloud, and hybrid environment.
2017 · twistlock.com · its alternatives →
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🦉⚡️Serverless, distributed vector database as an API - TimeSurgeLabs/athenadb
2024 · github.com · its alternatives →
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We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://github.com/lanterndata/lantern We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built on top of usearch — a state of the art implementation of HNSW, the most scalable and performant algorithm for handling vector search. There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding…
2023 · docs.lantern.dev · its alternatives →
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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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I started thinking about this approach after working on a large-scale project for a major financial company where our group developed a distributed in-house data processing solution. On a regular basis, it ingested a few gigabytes of financial data and, within a tight SLA time limit, produced a lot of enriched/aggregated/validated data for a number of customers. Sometimes, source data had errors, so operators with domain knowledge had to verify data validity at some checkpoints, immediately make corrections, and re-run parts of the workflow manually. The solution involved complex…
2023 · capillaries.io · its alternatives →
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I built a SQLite VFS in Rust that serves cold queries directly from S3 with sub-second performance, and often much faster. It’s called turbolite. It is experimental, buggy, and may corrupt data. I would not trust it with anything important yet. I wanted to explore whether object storage has gotten fast enough to support embedded databases over cloud storage. Filesystems reward tiny random reads and in-place mutation. S3 rewards fewer requests, bigger transfers, immutable objects, and aggressively parallel operations where bandwidth is often the real constraint. This was explicitly inspired…
Mar 2026 · github.com · its alternatives →
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Hello HN! I'm building mvsqlite, a distributed variant of SQLite with MVCC transactions, that runs on FoundationDB. It is a drop-in replacement that just needs an `LD_PRELOAD` for existing applications using SQLite. I made this because Blueboat (https://github.com/losfair/blueboat) needs a native SQL interface to persistent data. Apparently, just providing a transactional key-value store isn’t enough - it is more easy and efficient to build complex business logic on an SQL database, and it seems necessary to bring a self-hostable distributed SQL DB onto the platform.…
2022 · 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 →