Neo4j Alternatives

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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Pinecone

If you're looking for something besides Neo4j, Pinecone is another top contender. It's optimized for querying and retrieving similar matches from a large number of items, with a serverless design that automatically scales without you worrying about the database. Pinecone supports low-latency vector search and real-time indexing, and it's certified for enterprise use with SOC 2 and HIPAA compliance.

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Vespa

Another alternative is Vespa, which combines a unified search engine and vector database for a variety of search types, including lexical and structured data. Its ability to incorporate machine-learned models and perform scalable, efficient inference makes it a good choice for search, recommendation and generative AI. Vespa offers free usage to get a quick start with AI-boosted data applications.

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Couchbase

Couchbase is another multi-tool, a NoSQL cloud database platform that accommodates a variety of data access methods, including key-value, JSON, SQL and vector search. Its memory-first architecture is designed for high performance, and it can be integrated with leading public cloud services, making it a good choice for many business needs.

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Qdrant

If you need an open-source option, Qdrant offers a fast and scalable vector database that's designed for cloud-native designs. Built with the Rust programming language for high-performance processing, it can be used with popular embeddings and frameworks and can be deployed in a variety of ways, including a free tier, making it a good, low-cost option for use cases like advanced search and recommendation.

More Alternatives to Neo4j

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DataStax

Rapidly build and deploy production-ready GenAI apps with 20% better relevance and 74x faster response times, plus enterprise-grade security and compliance.

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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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Elastic

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

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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Hex

Unify data teams with AI-assisted exploration, collaboration, and interactive reporting, accelerating data work and improving accuracy in a single, modular workspace.

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Grafbase

Unify data sources into a single graph, deploy anywhere, and enjoy advanced security, caching, and analytics for seamless GraphQL API development.

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Lettria

Extract insights from unstructured text data with a no-code AI platform that combines LLMs and symbolic AI for knowledge extraction and graph-based applications.

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Graphlit

Extracts insights from unstructured data like documents, audio, and images using Large Multimodal Models, automating content workflows and enriching data with third-party APIs.

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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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GoodData

Quickly build custom data products with interactive analytics abilities, leveraging AI-powered features like a no-code interface and chat assistant for effortless insights.

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Scale

Provides high-quality, cost-effective training data for AI models, improving performance and reliability across various industries and applications.

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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.

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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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Teradata

Unifies and harmonizes all data across an organization, providing transparency and speed, and enabling faster innovation and collaboration.

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Gretel Navigator

Generates realistic tabular data from scratch, edits, and augments existing datasets, improving data quality and security for AI training and testing.

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Dataiku

Systemize data use for exceptional business results with a range of features supporting Generative AI, data preparation, machine learning, MLOps, collaboration, and governance.

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Baseplate

Links and manages data for Large Language Model tasks, enabling efficient embedding, storage, and versioning for high-performance AI app development.

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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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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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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.