Best Vector Database Software for Small Business

How Many Vector Database Software Products Does G2 Track?

Total Products under this Category: 47

Category Stats (Nov 2026)

  • Average Rating: 4.57/5 (↑0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Vespa.ai (+1.79%) - Among all products in this category, Vespa.ai recorded the largest rating increase compared to last month

Last updated: November 10, 2026

How Does G2 Rank Vector Database Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,300+ Authentic Reviews
  • 47+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Vector Database Software

G2 Grid® for Vector Database Software plotting products by satisfaction and market presence

Highlighted products: Supabase, MongoDB Atlas, Pinecone, Elasticsearch, Weaviate, Zilliz, and CrateDB.

Underlying data: [Grid® JSON](https://www.g2.com/categories/vector-database/grids.json?focus%5B%5D=supabase-supabase&focus%5B%5D=mongodb-atlas&focus%5B%5D=pinecone&focus%5B%5D=elastic-elasticsearch&focus%5B%5D=weaviate&focus%5B%5D=zilliz&focus%5B%5D=cratedb&segment=small-business)

Supabase

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.

Average Rating: 4.6/5.0

Total Reviews: 241

Who Is the Company Behind Supabase?

  • Seller: Supabase
  • Year Founded: 2020
  • HQ Location: Global, US
  • LinkedIn® Page: www.linkedin.com
    436 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Founder, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 77% Small, 20% Medium

What Do G2 Reviewers Say About Supabase?

AI-generated summary from verified user reviews

Pros
  • Users find Supabase's ease of use impressive, facilitating quick backend setup and smooth integration with tools.
  • Users love the ease of use and rapid backend setup of Supabase, making it ideal for swift development.
  • Users value the easy integrations of Supabase, enhancing their development experience and project efficiency.
  • Users commend the setup ease of Supabase, facilitating rapid backend development and seamless database management.
  • Users appreciate the user-friendly interface of Supabase, making it easy to get started and use effectively.
Cons
  • Users find Supabase to have beginner unfriendliness, with complex tools and limited community support for novice coders.
  • Users feel that the pricing is steep, limiting features for non-premium users and hindering exploration of Supabase.
  • Users find that Supabase has a high complexity that can be challenging, especially for novice coders.
  • Users report insufficient guidance with Supabase, making it challenging for novice coders to navigate effectively.
  • Users find that learning difficulties arise from Supabase's complexity and limited documentation for beginners.

What Are Recent G2 Reviews of Supabase?

MongoDB Atlas

MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.

Average Rating: 4.5/5.0

Total Reviews: 857

Who Is the Company Behind MongoDB Atlas?

  • Seller: MongoDB
  • Year Founded: 2007
  • HQ Location: New York
  • LinkedIn® Page: www.linkedin.com
    8,041 employees on LinkedIn®
  • Ownership: NASDAQ: MDB

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 45% Small, 29% Large

What Do G2 Reviewers Say About MongoDB Atlas?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of MongoDB Atlas, enjoying its intuitive UI and seamless setup process.
  • Users appreciate the intuitive user interface of MongoDB Atlas, highlighting its ease of use and helpful documentation.
  • Users appreciate the fast response and easy search features of MongoDB Atlas, enhancing their overall experience.
  • Users appreciate the scalability of MongoDB Atlas, benefiting from intuitive tools that simplify performance and management.
  • Users commend MongoDB Atlas for its exceptional reliability, ensuring consistent uptime and seamless database management experiences.
Cons
  • Users criticize expensive pricing of MongoDB Atlas, feeling forced into higher tiers with insufficient support and performance.
  • Users find the unclear pricing of MongoDB Atlas frustrating, resulting in unexpected costs and poor support experiences.
  • Users find MongoDB Atlas to be overpriced for its performance, leading to frustration and recommendation to switch services.
  • Users express frustration over high memory usage leading to unnecessary costs and performance issues in MongoDB Atlas.
  • Users experience latency issues with MongoDB Atlas, including slow data deletion and performance degradation during critical processes.

What Are Recent G2 Reviews of MongoDB Atlas?

What Are G2 Users Discussing About MongoDB Atlas?

Pinecone

Pinecone is the developer-favorite and most trusted vector database for building accurate and performant AI applications at scale in production. Fully managed, easy to use, with the best cost/performance at scale.

Average Rating: 4.4/5.0

Total Reviews: 81

Who Is the Company Behind Pinecone?

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 78% Small, 22% Medium

What Are Recent G2 Reviews of Pinecone?

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Elasticsearch

Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community. Elastic’s platform lets you ingest any data source, build modern search experiences that integrate with large language models and generative AI, and visualize analytics for data-driven decision-making and insights. Our consistent investments in machine learning help developers stay ahead of the curve with the fast, highly relevant search, at scale. -- Flexible platform and toolkit to deliver powerful search functionality regardless of development resources and technology objectives. Our open platform delivers consistent functionality for cloud, hybrid, or on-prem deployments with exceptional performance, reliability, and scalability. -- Built-in search analytics and visualization tools give teams access to search data and real-time dashboards for optimizing search results and operations. Non-tech teams can tune search experiences too–no development team needed. -- Next level search relevance using textual search, vector search, hybrid, and semantic search and machine learning model flexibility. Powerful capabilities like a vector database provide the foundation for creating, storing, and searching embeddings to capture the context of your unstructured data. Use machine-learning enabled inference at data ingestion, and bring your own model - open or proprietary - to deliver the best, industry-specific results.

Average Rating: 4.5/5.0

Total Reviews: 311

Who Is the Company Behind Elasticsearch?

  • Seller: Elastic
  • Company Website:
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®
  • Ownership: NYSE: ESTC

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 37% Medium, 33% Large

What Do G2 Reviewers Say About Elasticsearch?

AI-generated summary from verified user reviews

Pros
  • Users find Elasticsearch to have exceptional ease of use, facilitating log collection and integration seamlessly.
  • Users value the speed and scalability of Elasticsearch, enabling fast results for efficient log analysis and monitoring.
  • Users value the fast search capabilities of Elasticsearch, enhancing log analysis with quick and efficient results.
  • Users praise Elasticsearch for its speed and scalability, making log analysis and data querying exceptionally efficient.
  • Users highlight the powerful search and aggregation capabilities of Elasticsearch, enhancing data analysis and improving operational efficiency.
Cons
  • Users find Elasticsearch expensive to scale, facing rising operational costs and complexity as data needs grow.
  • Users highlight the required expertise needed for effective management of Elasticsearch, complicating usage for less experienced teams.
  • Users face a steep learning curve with Elasticsearch, requiring significant effort to grasp advanced features and configurations.
  • Users experience challenges with complex configuration and version upgrades, leading to increased troubleshooting times and operational overhead.
  • Users face a difficult learning curve with Elasticsearch, needing deep expertise for configuration, tuning, and integrations.

What Are Recent G2 Reviews of Elasticsearch?

Weaviate

Weaviate is an open-source vector database that helps developers build and scale AI applications such as semantic search, retrieval-augmented generation (RAG), recommendation, and AI agents. It stores data objects together with their vector embeddings, allowing applications to combine vector similarity with keyword and structured filters (hybrid search) to retrieve relevant results across billions of objects. Weaviate is built for developers and teams working with modern AI workloads, from individual projects to enterprise production systems. It integrates across the AI stack with pre-built modules for common embedding and large language model (LLM) providers, including OpenAI, Anthropic, Cohere, Google, AWS Bedrock, and Hugging Face, so teams can bring their own models or use Weaviate Embeddings. Key capabilities include: - Vector and hybrid search that combines semantic similarity with keyword matching and metadata filters - Built-in vectorization and pluggable embedding and LLM providers, so models can be changed without re-architecting - Native multi-tenancy with data isolation, and role-based access control (RBAC) - Query Agent, which converts natural-language questions into database queries and returns answers with source citations - Engram, a managed memory service that gives AI agents persistent, personalized memory Weaviate can be self-hosted under the open-source BSD-3-Clause license or run as a fully managed service through Weaviate Cloud on AWS, Google Cloud, and Azure, with a Bring Your Own Cloud (BYOC) option that runs Weaviate inside a customer's own cloud environment. Weaviate Cloud includes a free tier with no credit card required and no expiration, along with paid tiers for teams moving into production. For organizations with compliance requirements, Weaviate is SOC 2 Type II certified, with HIPAA compliance available for regulated workloads.

Average Rating: 4.4/5.0

Total Reviews: 52

Who Is the Company Behind Weaviate?

  • Seller: Weaviate
  • Year Founded: 2019
  • HQ Location: Amsterdam, NL
  • LinkedIn® Page: www.linkedin.com
    74 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 62% Small, 25% Medium

What Are Recent G2 Reviews of Weaviate?

Zilliz

Zilliz Cloud is a cloud-native vector database platform that stores, indexes, and searches billions of embedding vectors to power enterprise-grade similarity search, recommender systems, retrieval augmented generation, 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. Zilliz Cloud features: Superior Al-Powered Search Optimal search strategies and zero manual tuning from AI-powered AutoIndex and Cardinal Search Engine High Performance & Scale A cloud-native database with distributed architecture for on-demand scalability and cost-efficient growth Uncompromising Security & Reliability An enterprise-ready platform delivers reliable performance and enterprise-grade security Build faster with a comprehensive suite of vector database features - High Performance Vector Search - Low Latency with High Recall - Hybrid Search - Various Similarity Metrics - Tunable Consistency - Scale as Needed Reduce TCO with Cloud-Native Vector Search While Milvus offers powerful vector search capabilities, it requires significant investment in skilled engineers, performance tuning, and ongoing maintenance. Zilliz eliminates these costs through our innovative Cardinal search engine and management tools—reducing total cost of ownership by up to 70% and optimized for your use cases: Recommendation Systems, RAG Applications, or Anomaly Detection Systems. Zilliz Cloud is available directly from zilliz.com and also through the AWS, Google Cloud and Azure Marketplaces so you can utilize your pre-contracted cloud credits to simplify your infrastructure stack spending.

Average Rating: 4.7/5.0

Total Reviews: 52

Who Is the Company Behind Zilliz?

  • Seller: ZILLIZ
  • Year Founded: 2017
  • HQ Location: Redwood City, US
  • LinkedIn® Page: www.linkedin.com
    150 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Small, 37% Medium

What Do G2 Reviewers Say About Zilliz?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Zilliz, citing its intuitive platform and straightforward integration for efficient operations.
  • Users commend the exceptional speed of Zilliz, enabling swift searches through millions of vectors in milliseconds.
  • Users value Zilliz for its fast retrieval speed, enabling efficient searches through millions of vectors in 200 milliseconds.
  • Users highlight Zilliz's excellent performance in handling massive datasets and fast query responses, enhancing efficiency and scalability.
  • Users value the comprehensive documentation of Zilliz, facilitating an efficient setup and enhancing overall usability.
Cons
  • Users find Zilliz to be relatively expensive, especially for smaller projects or individual developers.
  • Users find the limited number of vector columns and lack of support for sorting a drawback in Zilliz.
  • Users express a need for more comprehensive documentation, especially regarding advanced configurations and performance tuning.
  • Users find the missing features of Zilliz, such as sorting and highlighting, limit its search capabilities.
  • Users find the monthly cost prohibitive, often opting for cheaper alternatives like mini-PCs or Hetzner hosting.

What Are Recent G2 Reviews of Zilliz?

CrateDB

The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and containerized database that runs queries in milliseconds, regardless of data complexity, volume and velocity.

Average Rating: 4.4/5.0

Total Reviews: 82

Who Is the Company Behind CrateDB?

  • Seller: CrateDB
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 31% Medium

What Do G2 Reviewers Say About CrateDB?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of CrateDB, enjoying its simple UI and quick setup for database management.
  • Users appreciate the speed and native SQL interface of CrateDB, enabling seamless queries on structured and semi-structured data.
  • Users find easy integrations with CrateDB, enabling seamless connectivity with various tools and data types.
  • Users appreciate the flexibility of CrateDB, enabling seamless handling of diverse data types and instant querying capabilities.
  • Users value CrateDB's intuitive UI and robust multi-model support, enhancing functionality for diverse data needs.
Cons
  • Users note a lack of features in CrateDB, particularly in comparison tools and advanced functions for analytics.
  • Users express concerns about software limitations, such as a lack of advanced features and control options.
  • Users express concerns about limited features, particularly regarding connectors, security, and advanced analytics in CrateDB.
  • Users note poor documentation for CrateDB, especially regarding Kubernetes configurations and integration with other systems.
  • Users find complex configuration challenging, particularly with Kubernetes and limited sharding control, affecting ease of use.

What Are Recent G2 Reviews of CrateDB?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated