Zilliz Alternatives

Streamlines billion-scale vector search applications with a fully managed service, offering high performance, scalability, and security for large-scale vector data.
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Pinecone

If you're looking for another Zilliz alternative, Pinecone is a good option. It's designed as a serverless service for fast querying and retrieval of similar items across billions of items in milliseconds. Pinecone supports low-latency vector search, metadata filtering and real-time indexing, and offers a free starter plan and scalable enterprise plans that can help reduce costs. It also integrates with big cloud providers and supports different data sources, models and frameworks, so it's a secure and enterprise-ready option.

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Qdrant

Another good option is Qdrant, an open-source vector database and search engine designed to handle high-performance processing of high-dimensional vectors. Qdrant is designed to be cloud-native and easy to use, with options to deploy with Docker and big cloud platforms. It supports advanced search, recommendation systems and data analysis, and offers flexible pricing options. Qdrant also offers strong security options and detailed documentation, making it a good option for many use cases.

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Vespa

Vespa is another good option, a unified search engine and vector database that can handle vector, lexical and structured data search. It's designed for building production-ready search applications at scale, combining fast vector search with machine-learned models. Vespa supports a variety of machine learning tools and offers auto-elastic data management, so it's a good option for applications that require high end-to-end performance and low latency.

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DataStax

If you're looking for a data management option that's built with AI capabilities, check out DataStax. Powered by Astra DB, DataStax offers fast response times and high relevance for both vector and structured data. It also supports seamless integrations with leading AI ecosystem tools and offers features like Relevant GenAI for generative AI applications and Fast Path to Production for quick deployment. This platform is designed for fast and relevant results, with a pay-as-you-go pricing model that works for projects of all sizes.

More Alternatives to Zilliz

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Elastic

Combines search and AI to extract meaningful insights from data, accelerating time to insight and enabling tailored experiences.

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Vectorize

Convert unstructured data into optimized vector search indexes for fast and accurate retrieval augmented generation (RAG) pipelines.

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Trieve

Combines language models with ranking and relevance fine-tuning tools to deliver exact search results, with features like private managed embeddings and hybrid search.

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Neum AI

Build and manage data infrastructure for Retrieval Augmented Generation and semantic search with scalable pipelines and real-time vector embeddings.

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Couchbase

Unlocks high-performance, flexible, and cost-effective AI-infused applications with a memory-first architecture and AI-assisted coding.

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SingleStore

Combines transactional and analytical capabilities in a single engine, enabling millisecond query performance and real-time data processing for smart apps and AI workloads.

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OpenSearch

Build scalable, high-performance search solutions with out-of-the-box performance, machine learning integrations, and powerful analytics capabilities.

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VectorShift

Build and deploy AI-powered applications with a unified suite of no-code and code tools, featuring drag-and-drop components and pre-built pipelines.

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Jina

Boost search capabilities with AI-powered tools for multimodal data, including embeddings, rerankers, and prompt optimizers, supporting over 100 languages.

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Algolia

Delivers fast, scalable, and personalized search experiences with AI-powered ranking, dynamic re-ranking, and synonyms for more relevant results.

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Anyscale

Instantly build, run, and scale AI applications with optimal performance and efficiency, leveraging automatic resource allocation and smart instance management.

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Redis

Redis is an in-memory data platform for building high-performance, low-latency applications quickly.

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EDB Postgres AI

Unifies transactional, analytical, and AI workloads on a single platform, with native AI vector processing, analytics lakehouse, and unified observability.

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MinIO

High-performance object storage for cloud-native workloads, scalable and compatible with Amazon S3.

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dstack

Automates infrastructure provisioning for AI model development, training, and deployment across multiple cloud services and data centers, streamlining complex workflows.

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Aiven

Unify data infrastructure management across multiple clouds, streamlining app development, security, and compliance, while optimizing cloud costs.

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Neo4j

Analyze complex data with a graph database model, leveraging vector search and analytics for improved AI and ML model performance at scale.

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Milvus

Rapidly create and search high-dimensional vector collections with minimal performance impact, scaling to billions of vectors with a distributed architecture.

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Scaleway

Scaleway offers a broad range of cloud services for building, training, and deploying AI models.

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Zerve

Securely deploy and run GenAI and Large Language Models within your own architecture, with fine-grained GPU control and accelerated data science workflows.