Redis
the lowest latency here, and the worst economics at scale
unbeatable latency when the data fits in memory, and in-memory is the whole problem — plus a licence history you need to check before deploying.
if your vectors fit in ram and you already run redis, this is the fastest option in the category and the marginal cost is close to zero. hnsw and flat indexes are supported through the search module.
in-memory is also the constraint that decides everything. by the arithmetic in the introduction, a hundred million 1536-dimension vectors is roughly six hundred gigabytes — of ram. that makes redis the most expensive place per vector at scale by a wide margin, and the free tier's thirty megabytes is a toy rather than an evaluation.
the description above is ours, condensed from the ranking. pricing moves — check it on the vendor's own page before you rely on it.
- category
- vector databases
- pricing
- free up to 30MB; essentials from $0.007 / hour
- website
- redis.io
unbeatable latency when the data fits in memory, and in-memory is the whole problem — plus a licence history you need to check before deploying.
we researched this category against vendors' own pricing pages and licence files. that is where this line comes from — not from the vendor, and not from anything they paid for.