Quick comparison # App Pricing Verified price Open source Platforms Verified facts Score 1 PineconeFree plan + paid $20 a month flat (Builder) No Web 9 of 9 68.8 2 WeaviateOpen source From $45/month Yes Self-hosted, Web 4 of 4 64.8 3 ChromaOpen source — Yes Self-hosted, Linux, macOS +1 5 of 5 57.5 4 ElasticsearchOpen source — Yes Self-hosted, Web 4 of 4 52.6 5 PostgreSQLOpen source — Yes Linux, macOS, Windows +1 5 of 5 51.2 6 MilvusOpen source — Yes Self-hosted, Linux 3 of 3 40.0
1 Best for: Teams building RAG or semantic search who want a vector database with no infrastructure to manage
Free plan + paid Web
Why switch from Qdrant
Serverless managed service with no clusters to size, if you prefer not to self-host.
Pros Serverless, so there are no clusters to size or tune Hybrid dense, sparse and full-text indexes Free Starter plan for prototypesCons Closed source with no self-hosted option Production plans carry a monthly minimum spend Costs can be hard to predict with heavy query volumeHow this score is calculated Editorial fit ×0.3 100
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
2 Best for: Developers building RAG or semantic search who want open source with a managed cloud option
Open source Self-hostable Self-hosted, Web
Why switch from Qdrant
Open source with built-in embedding integrations and a Query Agent for natural-language queries.
Pros Open source and self-hostable Hybrid search and built-in embedding integrations Free cloud tier for experimentsCons Free cloud tier is capped at 100,000 objects and one collection Cloud pricing spans several usage dimensions Self-hosting at scale needs Kubernetes experienceHow this score is calculated Editorial fit ×0.3 87
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
3 Best for: Developers who want a simple, free, self-hosted vector store for RAG and semantic search prototypes.
Open source Self-hostable Self-hosted, Linux, macOS, Windows
Why switch from Qdrant
Open-source embedding database that can run in-process from Python, simpler for prototypes and small RAG apps than a Qdrant server.
Pros Apache 2.0 licence with no usage limits on the open-source version Quick to start with pip or npm and an embedded local mode Combines vector, BM25, full-text, regex and metadata searchCons Hosted Chroma Cloud is being wound down after the Replit deal You run, scale and back up the database yourself Future roadmap now depends on Replit's prioritiesHow this score is calculated Editorial fit ×0.3 63
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
4 Best for: Engineering teams with large or complex search, logging or analytics needs
Open source Self-hostable Self-hosted, Web
Why switch from Qdrant
One engine for vectors plus mature full-text search and log analytics.
Pros Scales to very large datasets across many nodes Full-text, vector and hybrid search in one engine Self-managed, hosted and serverless optionsCons Needs real tuning and operations work to run well Memory-hungry compared with lighter search engines Several features need a paid Elastic subscriptionHow this score is calculated Editorial fit ×0.3 46
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
5 Best for: Developers and teams who want a free, standards-minded relational database that scales with their app.
Open source Self-hostable Linux, macOS, Windows, Self-hosted
Why switch from Qdrant
pgvector adds vector search to the Postgres database you may already run.
Pros Strong SQL standards support and full ACID transactions Rich types: JSONB, arrays, ranges, plus PostGIS for maps Highly extensible with custom types and functions Permissive licence and community governance, not one vendorCons Running replication, failover and major upgrades yourself takes expertise Connection handling often needs a pooler under heavy load No official GUI; you pick a separate clientHow this score is calculated Editorial fit ×0.3 41
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
Verified facts 5 of 5 verified License PostgreSQL License (BSD/MIT-like) Checked Nov 8, 2026postgresql.org(opens source in a new tab) Origins 1986, UC Berkeley POSTGRES project Checked Nov 8, 2026postgresql.org(opens source in a new tab) ACID-compliant Since 2001 Checked Nov 8, 2026postgresql.org(opens source in a new tab) JSON support JSON/JSONB Checked Nov 8, 2026postgresql.org(opens source in a new tab) Platforms Linux, macOS, Windows, BSD, Solaris Checked Nov 8, 2026postgresql.org(opens source in a new tab) 6 Best for: Teams self-hosting vector search that need to scale to very large collections
Open source Self-hostable Self-hosted, Linux
Why switch from Qdrant
Distributed Kubernetes mode and GPU indexes for very large collections.
Pros Apache 2.0 licence with no paid core Same API from a local Python library up to a distributed cluster Many index types, including disk-based and GPU indexes Managed option available through Zilliz CloudCons Distributed mode needs Kubernetes and has many moving parts Heavier to operate than single-binary options like Qdrant or Chroma Managed hosting is a separate product from a separate siteHow this score is calculated Editorial fit ×0.3 12
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 85
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula