Best EVA DB Alternatives & Competitors in 2025

AI-powered search engine.

Key txtai features:

Open Source Ease of Use Versatile Functionality Scalability

Data Infrastructure for AI Made Easy.

Open Source freemium

Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future!

Key Electe features:

Connect your Data Analyze the Data Generate custom reports

Visit website paid €379.0 / Annually (https://en.electe.net/prezzi)

Welcome to Weaviate.

Key Weaviate features:

Semantic Search Scalability Graph-Based Integration with AI/ML Models

Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

Key Milvus features:

High Performance Scalability Flexible Deployment Community and Support

Open Source free

Store, search, rank and organize big data.

Key Vespa.ai features:

Scalability Flexibility Real-time Data Processing Open Source

Open Source

Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ .

Key Qdrant features:

Advanced Filtering On-disc Storage Scalar Quantization Product Quantization

Open Source freemium

Ultra relevant, instant, and typo-tolerant full-text search API.

Key Meilisearch features:

Speed Relevance Ease of Use Open Source

Open Source

Seamless project management and collaboration for your team.

Key Hive features:

Free Trial Integrations File sharing Easy to Set-up and use

Visit website $12.0 / Monthly (Per user)

Unleash the full potential of Generative AI.

Open Source freemium $20.0 / Monthly (Personal- 5GB storage per month)

Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Key Algolia features:

Speed Ease of Integration Customizable Relevance Scalability

Open Source

Neural search as a service API with breakthrough relevance.

Open Source

Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point.

Key Annoy features:

Fast Query Time Memory Efficient Built for Large Datasets Supports High-Dimensional Data

Typo tolerant, delightfully simple, open source search 🔍.

Key Typesense features:

High Performance Easy to Set Up Real-Time Indexing Open Source

Open Source