Top 10 Weaviate Alternatives & Competitors

Top 10 Alternatives to Weaviate Recently Reviewed By G2 Community

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Pinecone
By Pinecone Systems
4.6/5
(38)
Product Description
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.
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Reviewers say compared to Weaviate, Pinecone is:
Slower to reach roi
Easier to do business with
Easier to admin
Categories in common with Weaviate:
Vector Database

PG Vector
By pgvector
3.8/5
(12)
Product Description
PGVector is an open-source extension for PostgreSQL that enables efficient vector similarity searches directly within the database. It allows users to store and query vector data alongside traditional relational data, facilitating tasks such as machine learning model integration, recommendation systems, and natural language processing applications. Key Features and Functionality: - Vector Storage: Supports single-precision, half-precision, binary, and sparse vectors, accommodating diverse data types. - Similarity Search: Offers both exact and approximate nearest neighbor search capabilities, utilizing distance metrics like L2 (Euclidean, inner product, cosine, L1, Hamming, and Jaccard distances. - Indexing: Provides indexing methods such as HNSW (Hierarchical Navigable Small World and IVFFlat (Inverted File with Flat quantization to optimize search performance. - Integration: Compatible with any language that has a PostgreSQL client, enabling seamless incorporation into existing applications. - PostgreSQL Features: Maintains full support for PostgreSQL's ACID compliance, point-in-time recovery, and JOIN operations, ensuring data integrity and reliability. Primary Value and User Solutions: PGVector addresses the challenge of integrating vector similarity search within relational databases by embedding this functionality directly into PostgreSQL. This integration eliminates the need for external systems or complex data pipelines, simplifying architecture and reducing latency. Users can perform efficient similarity searches on vector data stored alongside their relational data, streamlining workflows in applications like recommendation engines, image and text retrieval, and other AI-driven solutions.
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Categories in common with Weaviate:
Vector Database

Supabase
By Supabase
4.7/5
(33)
Product Description
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.
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Reviewers say compared to Weaviate, Supabase is:
Slower to reach roi
Easier to do business with
Easier to set up
Categories in common with Weaviate:
Vector Database
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Zilliz
By ZILLIZ
4.7/5
(53)
Product Description
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.
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Reviewers say compared to Weaviate, Zilliz is:
More expensive
Better at support
Easier to do business with
Categories in common with Weaviate:
Vector Database

Qdrant
By Qdrant
4.5/5
(12)
Product Description
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.
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Reviewers say compared to Weaviate, Qdrant is:
Easier to set up
More usable
Categories in common with Weaviate:
Vector Database

SingleStore
By SingleStore
4.5/5
(118)
Product Description
SingleStoreDB is a real-time, unified, distributed SQL database combining transactional + analytical + vector data workloads.
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Reviewers say compared to Weaviate, SingleStore is:
Slower to reach roi
More expensive
Easier to do business with
Categories in common with Weaviate:
Vector Database

Milvus
By ZILLIZ
4.7/5
(11)
Product Description
Milvus is the leading open source vector database built to power scalable vector similarity search in AI/ML applications.
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Reviewers say compared to Weaviate, Milvus is:
Slower to reach roi
Easier to do business with
Better at meeting requirements
Categories in common with Weaviate:
Vector Database

CrateDB
By CrateDB
4.4/5
(84)
Product Description
Crate.io is a distributed, document-oriented database designed to be used with traditional SQL syntax.
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Reviewers say compared to Weaviate, CrateDB is:
Easier to do business with
Better at support
Easier to set up
Categories in common with Weaviate:
Vector Database

KX
By KX
4.6/5
(51)
Product Description
KX is maker of kdb+, a time series and vector database, independently benchmarked as the fastest on the market. It can process and analyze time series, historical and vector data at unmatched speed and scale, empowering developers, data scientists, and data engineers to build high-performance data-driven applications and turbo-charge their favorite analytics tools in the cloud, on-premise, or at the edge. For more info visit www.kx.com.
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Reviewers say compared to Weaviate, KX is:
More expensive
Easier to do business with
Easier to admin
Categories in common with Weaviate:
Vector Database

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