Top Free Vector Database Software - Page 2

How Many Vector Database Software Products Does G2 Track?

Total Products under this Category: 41

Category Stats (Sep 2026)

  • Average Rating: 4.56/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: TiDB (+0.17%) - Among all products in this category, TiDB recorded the largest rating increase compared to last month

Last updated: September 13, 2026

How Does G2 Rank Vector Database Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,300+ Authentic Reviews
  • 41+ 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: Elasticsearch, Supabase, Pinecone, Weaviate, Zilliz, PG Vector, TiDB, and Qdrant.

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

Endee

Endee is an open-source, cloud-native vector database built for production AI workloads, delivering high-performance vector search with 10x less memory than traditional vector databases like Pinecone, Weaviate, or Qdrant. Designed for developers and enterprises alike, Endee powers the AI use cases that matter most Retrieval-Augmented Generation (RAG), semantic search, agentic AI pipelines, and AI-powered recommendation systems all at scale, without the infrastructure headache. Unlike legacy vector search engines, Endee is built from the ground up to be fast, scalable, and secure without compromising on developer experience. Its architecture handles billions of vector embeddings with low latency and high throughput, making it the right foundation for real-world AI applications, LLM integrations, and similarity search in production. Whether you're a startup shipping your first AI feature or an enterprise running mission-critical machine learning workloads, Endee gives you the performance edge and flexibility to grow open-source at its core, enterprise-ready when you need it.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Endee?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Endee?

Tiger Data

Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly. Disaggregated compute & storage. Never pay for idle capacity. - Unified data architecture. Connect any data source and automatically sync it between your operational database, and data lake. - Hyperscaler procurement. Available on AWS Marketplace and Azure Marketplace. Key capabilities: - Automatic partitioning Ingest millions of data points per second without manual table management or sharding. - Incremental materialized views Precompute and cache rollups for instant dashboards and APIs. - Hybrid row/column storage Fast writes, compressed reads, optimized for real-time and historical queries. - Compression (up to 95%) Columnar encodings apply filters & aggregates directly on compressed data for faster queries and big savings. - Tiered Storage Automatically move older or less-frequently accessed data to low-cost object storage while keeping it fully queryable through the same SQL interface. - Fully managed Postgres Cloud Scale compute and storage independently, tier S3 storage to manage costs, deploy globally, and skip database ops. Industry verticals: Developers and platform teams in Industrial IoT, manufacturing, Crypto, SaaS/ML and DevOps tooling rely on Tiger to combine operational and historical data for real-time dashboards and mission-critical insights, queryable in standard-SQL. How to get started: Try Tiger Cloud for 1-month free with no credit card needed, or use us indefinitely as part of our free plan. Get started now - https://console.cloud.timescale.com/signup?utm_source=g2&utm_medium=referral&utm_campaign=free-trial-g2

Average Rating: 4.6/5.0

Total Reviews: 32

Who Is the Company Behind Tiger Data?

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 78% Small, 19% Medium

What Do G2 Reviewers Say About Tiger Data?

AI-generated summary from verified user reviews

Pros
  • Users praise the clean and intuitive UI of Tiger Data, making navigation and setup effortless.
  • Users highlight the easy setup of Tiger Data, allowing quick integration and efficient management of databases.
  • Users appreciate the ease of setup, finding it quick and straightforward to start using Tiger Data.
  • Users value the ease of access and actionable insights provided by Tiger Data, enhancing decision-making and analytics.
  • Users praise the performance of Tiger Data, highlighting its speed, accuracy, and user-friendly interface for managing data.
Cons
  • Users find the pricing to be high and inflexible, especially for smaller projects or startups.
  • Users find Tiger Data's expensive licensing burdensome, especially for hobby projects, making budgeting essential for scaling.
  • Users express concerns about missing features like advanced visualizers and experience slow UI when managing many tables.
  • Users experience poor UI with slow loading times, especially when handling large datasets, affecting overall workflow efficiency.
  • Users experience slow performance with the UI, particularly when handling large amounts of data, affecting workflow efficiency.

What Are Recent G2 Reviews of Tiger Data?

Hazelcast Platform

Hazelcast Platform is the Live Data Platform that delivers data at the speed of relevance, providing the in‑memory foundation for applications that act on data the instant it's created—ensuring businesses never miss a moment of opportunity. By converging distributed caching, compute, stream processing, and real‑time AI into one low‑latency runtime, Hazelcast delivers sub‑millisecond performance, linear scalability, and enterprise resilience. Global 2000 firms trust Hazelcast to simplify architectures, reduce costs, and power mission‑critical, time‑sensitive applications.

Average Rating: 4.3/5.0

Total Reviews: 12

Who Is the Company Behind Hazelcast Platform?

  • Seller: Hazelcast
  • Year Founded: 2010
  • HQ Location: Palo Alto, US
  • Twitter: @hazelcast
    9,354 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 54% Small, 23% Large

What Do G2 Reviewers Say About Hazelcast Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Hazelcast Platform, noting its speed and minimal memory requirements.
  • Users appreciate the fast processing of Hazelcast Platform, noting its efficiency in resolving distributed systems challenges.
  • Users appreciate the flexibility of Hazelcast Platform, finding it fast and efficient for distributed systems challenges.
  • Users appreciate the fast performance of Hazelcast Platform, effectively solving issues in distributed systems with minimal memory usage.
  • Users appreciate the fast performance and low memory usage of Hazelcast Platform, which simplifies distributed system management.
Cons
  • Users find the learning curve to be steep, requiring extra time to navigate and understand the platform effectively.
  • Users note the navigation difficulty in Hazelcast Platform, requiring extra time to find features effectively.
  • Users find Hazelcast Platform not user-friendly, requiring extra time to navigate and locate features efficiently.
  • Users find the poor UI of Hazelcast Platform makes navigation and coordination frustrating and time-consuming.
  • Users find the time-consuming nature of locating and coordinating resources in Hazelcast to be a drawback.

What Are Recent G2 Reviews of Hazelcast Platform?

What Are G2 Users Discussing About Hazelcast Platform?

VectorX DB

VectorX DB is a high-performance, secure vector database built for GenAI, RAG, and AI agent workloads. It offers ultra-fast hybrid search, queryable encryption, and memory-efficient indexing — ideal for production-grade AI applications. With native support for LangChain, LlamaIndex, and OpenAI models, VectorX DB helps developers build smarter, safer AI systems. Start free with $300 credits.

Who Is the Company Behind VectorX DB?