VectorDBBench
FLiPStackWeekly
| VectorDBBench | FLiPStackWeekly | |
|---|---|---|
| 16 | 82 | |
| 408 | 14 | |
| 10.0% | - | |
| 8.5 | 9.9 | |
| 5 days ago | about 9 hours ago | |
| Python | ||
| MIT License | Apache License 2.0 |
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VectorDBBench
- FLaNK-AIM Weekly 06 May 2024
- GPU index supports in Vector Database benchmark latest version
- Benchmarking Tool for Vector DBs
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Vespa.ai is spinning out of Yahoo as a separate company
We conducted benchmark tests on Elastic's queries per second (QPS) performance using datasets of 500,000 and 1 million vectors. Result was Zilliz is 13x and 22x faster, per number of vectors respectively. https://zilliz.com/blog/elasticsearch-cloud-vs-zilliz
Feel free to explore our open-source benchmarking tool, which allows you to examine our methodology and even compare it with your vector database. https://github.com/zilliztech/VectorDBBench
- Vector Database benchmark with 1536/768 dim data
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Vector Dataset benchmark with 1536/768 dim data
"
the link is: https://github.com/zilliztech/VectorDBBench/issues/200#issue...
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Comparison of Vector Databases
Interesting graphic, bland and unvoiced conclusion
You're also missing a lot of details. For example, Milvus and Zilliz are actually a little different, check this out for more details: https://github.com/zilliztech/VectorDBBench (of course run it on your own stuff, don't blindly trust companies just because their product is open source)
Also if you want to throw some more comparisons in their checkout elastic search
- VectorDB benchmark for both cloud and open source
- Cloud Vector Database Benchmark Result
- FLaNK Stack Weekly for 20 June 2023
FLiPStackWeekly
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