# Top 10 PG Vector Alternatives & Competitors
**Average Rating:** 3.8/5
**Total Number of Reviews:** 12
PG Vector is not the only option for Vector Database Software. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to PG Vector include search and performance. The best overall PG Vector alternative is Weaviate. Other similar apps like PG Vector are Supabase, Elasticsearch, Qdrant, and SingleStore. PG Vector alternatives can be found in [Vector Database Software](https://www.g2.com/categories/vector-database) but may also be in [AI Search & Retrieval Infrastructure Platforms Software](https://www.g2.com/categories/ai-search-retrieval-infrastructure-platforms) or [Backend as a Service (BaaS) Software](https://www.g2.com/categories/backend-as-a-service-baas).


## Best Paid & Free Alternatives to PG Vector
  - [Weaviate](https://www.g2.com/products/weaviate/reviews)
  - [Supabase](https://www.g2.com/products/supabase-supabase/reviews)
  - [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews)
  - [Qdrant](https://www.g2.com/products/qdrant/reviews)
  - [SingleStore](https://www.g2.com/products/singlestore/reviews)
  - [Pinecone](https://www.g2.com/products/pinecone/reviews)
  - [Zilliz](https://www.g2.com/products/zilliz/reviews)
  - [CrateDB](https://www.g2.com/products/cratedb/reviews)
  - [Milvus](https://www.g2.com/products/milvus/reviews)
  - [TiDB](https://www.g2.com/products/tidb/reviews)

## Top 10 Alternatives to PG Vector Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how PG Vector stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Information Technology and Services, and Financial Services, and find the best product for your business.


  ### 1. [Weaviate](https://www.g2.com/products/weaviate/reviews)
By Weaviate
**Average Rating:** 4.5/5
**Total Reviews:** 40
Weaviate is a cloud-native, real-time vector search engine (aka neural search engine or deep search engine). There are modules for specific use cases such as semantic search, plugins to integrate Weaviate in any application of your choice, and a console to visualize your data. Weaviate is used as a semantic search engine, similar image search engine our automatic classification engine based on the built-in machine learning models. Applications range from product search to CRM classifications. Weaviate has an open-core and a paid service for enterprise SLA usage and custom, industry-specific machine learning models.


Reviewers say compared to PG Vector, Weaviate is:
- More usable
- Better at support
- Better at meeting requirements
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs Weaviate](https://www.g2.com/compare/pg-vector-vs-weaviate)
**Compare Weaviate with other alternatives:**
- [Weaviate vs Supabase](https://www.g2.com/compare/supabase-supabase-vs-weaviate)
- [Weaviate vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-weaviate)
- [Weaviate vs Qdrant](https://www.g2.com/compare/qdrant-vs-weaviate)
- [Weaviate vs SingleStore](https://www.g2.com/compare/singlestore-vs-weaviate)
- [Weaviate vs Pinecone](https://www.g2.com/compare/pinecone-vs-weaviate)
- [Weaviate vs Zilliz](https://www.g2.com/compare/weaviate-vs-zilliz)
- [Weaviate vs CrateDB](https://www.g2.com/compare/cratedb-vs-weaviate)
- [Weaviate vs Milvus](https://www.g2.com/compare/milvus-vs-weaviate)
- [Weaviate vs TiDB](https://www.g2.com/compare/tidb-vs-weaviate)

  ### 2. [Supabase](https://www.g2.com/products/supabase-supabase/reviews)
By Supabase
**Average Rating:** 4.6/5
**Total Reviews:** 157
Supabase is an open-source backend-as-a-service (BaaS) platform that enables developers to build and scale applications efficiently without managing server infrastructure. Launched in 2020 as an alternative to Firebase, Supabase offers a suite of tools including a PostgreSQL database, authentication, real-time subscriptions, and storage capabilities. By leveraging the robustness of PostgreSQL, Supabase provides a scalable and secure foundation for modern web and mobile applications. Key Features and Functionality: - PostgreSQL Database: Each Supabase project includes a dedicated PostgreSQL database, offering full SQL support and advanced features such as JSON handling, full-text search, and vector support. - Instant APIs: Supabase automatically generates RESTful and GraphQL APIs based on your database schema, eliminating the need for manual coding and accelerating development. - Authentication and Authorization: The platform provides built-in user authentication with support for various sign-in methods, including email/password, magic links, and social logins. It also integrates seamlessly with PostgreSQL's Row Level Security for fine-grained access control. - Real-time Capabilities: Supabase enables real-time data synchronization via WebSockets, allowing applications to respond instantly to database changes. - Edge Functions: Developers can deploy serverless functions close to users for low-latency execution, facilitating scalable and efficient backend logic. - File Storage: Supabase offers scalable storage solutions for managing and serving files, complete with configurable access policies to ensure data security. Primary Value and User Solutions: Supabase addresses the challenges developers face in building and scaling applications by providing a comprehensive, open-source backend platform. It eliminates the complexities of managing server infrastructure, allowing developers to focus on creating feature-rich applications. With its real-time capabilities, robust authentication, and seamless integration with PostgreSQL, Supabase empowers developers to build secure, scalable, and responsive applications efficiently.


Reviewers say compared to PG Vector, Supabase is:
- More usable
- Better at support
- Better at meeting requirements
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs Supabase](https://www.g2.com/compare/pg-vector-vs-supabase-supabase)
**Compare Supabase with other alternatives:**
- [Supabase vs Weaviate](https://www.g2.com/compare/supabase-supabase-vs-weaviate)
- [Supabase vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-supabase-supabase)
- [Supabase vs Qdrant](https://www.g2.com/compare/qdrant-vs-supabase-supabase)
- [Supabase vs SingleStore](https://www.g2.com/compare/singlestore-vs-supabase-supabase)
- [Supabase vs Pinecone](https://www.g2.com/compare/pinecone-vs-supabase-supabase)
- [Supabase vs Zilliz](https://www.g2.com/compare/supabase-supabase-vs-zilliz)
- [Supabase vs CrateDB](https://www.g2.com/compare/cratedb-vs-supabase-supabase)
- [Supabase vs Milvus](https://www.g2.com/compare/milvus-vs-supabase-supabase)
- [Supabase vs TiDB](https://www.g2.com/compare/supabase-supabase-vs-tidb)

  ### 3. [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews)
By Elastic
**Average Rating:** 4.5/5
**Total Reviews:** 292
Create and manage a search experience tailored to your specific needs in no time, thanks to seamless indexing, best-in-class relevance and intuitive customization features.


Reviewers say compared to PG Vector, Elasticsearch is:
- Better at support
- More usable
- Better at meeting requirements
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-pg-vector)
**Compare Elasticsearch with other alternatives:**
- [Elasticsearch vs Weaviate](https://www.g2.com/compare/elastic-elasticsearch-vs-weaviate)
- [Elasticsearch vs Supabase](https://www.g2.com/compare/elastic-elasticsearch-vs-supabase-supabase)
- [Elasticsearch vs Qdrant](https://www.g2.com/compare/elastic-elasticsearch-vs-qdrant)
- [Elasticsearch vs SingleStore](https://www.g2.com/compare/elastic-elasticsearch-vs-singlestore)
- [Elasticsearch vs Pinecone](https://www.g2.com/compare/elastic-elasticsearch-vs-pinecone)
- [Elasticsearch vs Zilliz](https://www.g2.com/compare/elastic-elasticsearch-vs-zilliz)
- [Elasticsearch vs CrateDB](https://www.g2.com/compare/cratedb-vs-elastic-elasticsearch)
- [Elasticsearch vs Milvus](https://www.g2.com/compare/elastic-elasticsearch-vs-milvus)
- [Elasticsearch vs TiDB](https://www.g2.com/compare/elastic-elasticsearch-vs-tidb)

  ### 4. [Qdrant](https://www.g2.com/products/qdrant/reviews)
By Qdrant
**Average Rating:** 4.5/5
**Total Reviews:** 12
Qdrant engine is an open-source vector search database. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more.


Reviewers say compared to PG Vector, Qdrant is:
- More usable
- Better at support
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs Qdrant](https://www.g2.com/compare/pg-vector-vs-qdrant)
**Compare Qdrant with other alternatives:**
- [Qdrant vs Weaviate](https://www.g2.com/compare/qdrant-vs-weaviate)
- [Qdrant vs Supabase](https://www.g2.com/compare/qdrant-vs-supabase-supabase)
- [Qdrant vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-qdrant)
- [Qdrant vs SingleStore](https://www.g2.com/compare/qdrant-vs-singlestore)
- [Qdrant vs Pinecone](https://www.g2.com/compare/pinecone-vs-qdrant)
- [Qdrant vs Zilliz](https://www.g2.com/compare/qdrant-vs-zilliz)
- [Qdrant vs CrateDB](https://www.g2.com/compare/cratedb-vs-qdrant)
- [Qdrant vs Milvus](https://www.g2.com/compare/milvus-vs-qdrant)
- [Qdrant vs TiDB](https://www.g2.com/compare/qdrant-vs-tidb)

  ### 5. [SingleStore](https://www.g2.com/products/singlestore/reviews)
By SingleStore
**Average Rating:** 4.5/5
**Total Reviews:** 118
SingleStoreDB is a real-time, unified, distributed SQL database combining transactional + analytical + vector data workloads.


Reviewers say compared to PG Vector, SingleStore is:
- Better at support
- More usable
- Better at meeting requirements
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs SingleStore](https://www.g2.com/compare/pg-vector-vs-singlestore)
**Compare SingleStore with other alternatives:**
- [SingleStore vs Weaviate](https://www.g2.com/compare/singlestore-vs-weaviate)
- [SingleStore vs Supabase](https://www.g2.com/compare/singlestore-vs-supabase-supabase)
- [SingleStore vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-singlestore)
- [SingleStore vs Qdrant](https://www.g2.com/compare/qdrant-vs-singlestore)
- [SingleStore vs Pinecone](https://www.g2.com/compare/pinecone-vs-singlestore)
- [SingleStore vs Zilliz](https://www.g2.com/compare/singlestore-vs-zilliz)
- [SingleStore vs CrateDB](https://www.g2.com/compare/cratedb-vs-singlestore)
- [SingleStore vs Milvus](https://www.g2.com/compare/milvus-vs-singlestore)
- [SingleStore vs TiDB](https://www.g2.com/compare/singlestore-vs-tidb)

  ### 6. [Pinecone](https://www.g2.com/products/pinecone/reviews)
By Pinecone Systems
**Average Rating:** 4.5/5
**Total Reviews:** 55
Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search.


Reviewers say compared to PG Vector, Pinecone is:
- Better at support
- More usable
- Better at meeting requirements
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs Pinecone](https://www.g2.com/compare/pg-vector-vs-pinecone)
**Compare Pinecone with other alternatives:**
- [Pinecone vs Weaviate](https://www.g2.com/compare/pinecone-vs-weaviate)
- [Pinecone vs Supabase](https://www.g2.com/compare/pinecone-vs-supabase-supabase)
- [Pinecone vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-pinecone)
- [Pinecone vs Qdrant](https://www.g2.com/compare/pinecone-vs-qdrant)
- [Pinecone vs SingleStore](https://www.g2.com/compare/pinecone-vs-singlestore)
- [Pinecone vs Zilliz](https://www.g2.com/compare/pinecone-vs-zilliz)
- [Pinecone vs CrateDB](https://www.g2.com/compare/cratedb-vs-pinecone)
- [Pinecone vs Milvus](https://www.g2.com/compare/milvus-vs-pinecone)
- [Pinecone vs TiDB](https://www.g2.com/compare/pinecone-vs-tidb)

  ### 7. [Zilliz](https://www.g2.com/products/zilliz/reviews)
By ZILLIZ
**Average Rating:** 4.7/5
**Total Reviews:** 53
Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. ​ Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.


Reviewers say compared to PG Vector, Zilliz is:
- Better at support
- More usable
- Better at meeting requirements
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs Zilliz](https://www.g2.com/compare/pg-vector-vs-zilliz)
**Compare Zilliz with other alternatives:**
- [Zilliz vs Weaviate](https://www.g2.com/compare/weaviate-vs-zilliz)
- [Zilliz vs Supabase](https://www.g2.com/compare/supabase-supabase-vs-zilliz)
- [Zilliz vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-zilliz)
- [Zilliz vs Qdrant](https://www.g2.com/compare/qdrant-vs-zilliz)
- [Zilliz vs SingleStore](https://www.g2.com/compare/singlestore-vs-zilliz)
- [Zilliz vs Pinecone](https://www.g2.com/compare/pinecone-vs-zilliz)
- [Zilliz vs CrateDB](https://www.g2.com/compare/cratedb-vs-zilliz)
- [Zilliz vs Milvus](https://www.g2.com/compare/milvus-vs-zilliz)
- [Zilliz vs TiDB](https://www.g2.com/compare/tidb-vs-zilliz)

  ### 8. [CrateDB](https://www.g2.com/products/cratedb/reviews)
By CrateDB
**Average Rating:** 4.4/5
**Total Reviews:** 85
Crate.io is a distributed, document-oriented database designed to be used with traditional SQL syntax.


Reviewers say compared to PG Vector, CrateDB is:
- Better at support
- More usable
- Better at meeting requirements
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs CrateDB](https://www.g2.com/compare/cratedb-vs-pg-vector)
**Compare CrateDB with other alternatives:**
- [CrateDB vs Weaviate](https://www.g2.com/compare/cratedb-vs-weaviate)
- [CrateDB vs Supabase](https://www.g2.com/compare/cratedb-vs-supabase-supabase)
- [CrateDB vs Elasticsearch](https://www.g2.com/compare/cratedb-vs-elastic-elasticsearch)
- [CrateDB vs Qdrant](https://www.g2.com/compare/cratedb-vs-qdrant)
- [CrateDB vs SingleStore](https://www.g2.com/compare/cratedb-vs-singlestore)
- [CrateDB vs Pinecone](https://www.g2.com/compare/cratedb-vs-pinecone)
- [CrateDB vs Zilliz](https://www.g2.com/compare/cratedb-vs-zilliz)
- [CrateDB vs Milvus](https://www.g2.com/compare/cratedb-vs-milvus)
- [CrateDB vs TiDB](https://www.g2.com/compare/cratedb-vs-tidb)

  ### 9. [Milvus](https://www.g2.com/products/milvus/reviews)
By ZILLIZ
**Average Rating:** 4.7/5
**Total Reviews:** 12
Milvus is the leading open source vector database built to power scalable vector similarity search in AI/ML applications.


Reviewers say compared to PG Vector, Milvus is:
- Better at support
- More usable
- Better at meeting requirements
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs Milvus](https://www.g2.com/compare/milvus-vs-pg-vector)
**Compare Milvus with other alternatives:**
- [Milvus vs Weaviate](https://www.g2.com/compare/milvus-vs-weaviate)
- [Milvus vs Supabase](https://www.g2.com/compare/milvus-vs-supabase-supabase)
- [Milvus vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-milvus)
- [Milvus vs Qdrant](https://www.g2.com/compare/milvus-vs-qdrant)
- [Milvus vs SingleStore](https://www.g2.com/compare/milvus-vs-singlestore)
- [Milvus vs Pinecone](https://www.g2.com/compare/milvus-vs-pinecone)
- [Milvus vs Zilliz](https://www.g2.com/compare/milvus-vs-zilliz)
- [Milvus vs CrateDB](https://www.g2.com/compare/cratedb-vs-milvus)
- [Milvus vs TiDB](https://www.g2.com/compare/milvus-vs-tidb)

  ### 10. [TiDB](https://www.g2.com/products/tidb/reviews)
By PingCAP
**Average Rating:** 4.6/5
**Total Reviews:** 67
TiDB, powered by PingCAP, unlocks limitless scale for data-intensive businesses. Our advanced distributed SQL database enables leading enterprises, SaaS, and digital native companies to build petabyte-grade clusters while managing millions of tables, concurrent connections, frequent schema changes, and zero-downtime scaling.


Reviewers say compared to PG Vector, TiDB is:
- Better at support
- More usable
- Better at meeting requirements
Categories in common with PG Vector: [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [PG Vector vs TiDB](https://www.g2.com/compare/pg-vector-vs-tidb)
**Compare TiDB with other alternatives:**
- [TiDB vs Weaviate](https://www.g2.com/compare/tidb-vs-weaviate)
- [TiDB vs Supabase](https://www.g2.com/compare/supabase-supabase-vs-tidb)
- [TiDB vs Elasticsearch](https://www.g2.com/compare/elastic-elasticsearch-vs-tidb)
- [TiDB vs Qdrant](https://www.g2.com/compare/qdrant-vs-tidb)
- [TiDB vs SingleStore](https://www.g2.com/compare/singlestore-vs-tidb)
- [TiDB vs Pinecone](https://www.g2.com/compare/pinecone-vs-tidb)
- [TiDB vs Zilliz](https://www.g2.com/compare/tidb-vs-zilliz)
- [TiDB vs CrateDB](https://www.g2.com/compare/cratedb-vs-tidb)
- [TiDB vs Milvus](https://www.g2.com/compare/milvus-vs-tidb)


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