Faiss vs ScaNN
Faiss: Meta's C++/Python library for fast dense-vector similarity search and clustering, CPU and GPU. ScaNN: Google Research's ANN library using anisotropic quantization; the tech behind Vertex AI and AlloyDB vectors.
key differences
- These two are very similar on paper. Compare ecosystems, pricing and team familiarity.
choose faiss for
- +Embedding similarity search inside ML pipelines
- +Offline deduplication and clustering
- +Building custom vector search services
- +ANN research and benchmarking
best at · Vector search, Embedded, Scientific
choose scann for
- +High-throughput batch similarity search
- +ANN research and benchmarking
- +Embedding retrieval inside Python ML pipelines
best at · Vector search, Embedded, Scientific
Faiss vs ScaNN: FAQ
What is the difference between Faiss and ScaNN?
Faiss: Meta's C++/Python library for fast dense-vector similarity search and clustering, CPU and GPU. ScaNN: Google Research's ANN library using anisotropic quantization; the tech behind Vertex AI and AlloyDB vectors.
When should I choose Faiss over ScaNN?
Choose Faiss for embedding similarity search inside ML pipelines; offline deduplication and clustering; and building custom vector search services. Choose ScaNN for high-throughput batch similarity search; ANN research and benchmarking; and embedding retrieval inside Python ML pipelines.
Is Faiss or ScaNN more popular?
Faiss ranks #40 on the WhichDB Score (44.7/100) and ScaNN ranks #365 (6.3/100). Popularity is not fit: check the requirements that matter for your project.
Are Faiss and ScaNN open source?
Yes. Faiss is open source. License: MIT License. Yes. ScaNN is open source. License: Apache License 2.0.