DingoDB Alternatives

DingoDB is a superb AI tool in the Developer Tools field.However, there are many other excellent options in the market. To help you find the solution that best fits your needs, we have carefully selected over 30 alternatives for you. Among these choices, Seekdb,VectorDB and ArangoDB are the most commonly considered alternatives by users.

When choosing an DingoDB alternative, please pay special attention to their pricing, user experience, features, and support services. Each software has its unique strengths, so it's worth your time to compare them carefully according to your specific needs. Start exploring these alternatives now and find the software solution that's perfect for you.

Pricing:

Best DingoDB Alternatives in 2025

  1. OceanBase seekdb is an open-source, AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows.

  2. VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.

  3. ArangoDB: The unified multi-model database. Consolidate document, graph & search for high-performance apps & next-gen AI with rich context.

  4. LanceDB: Blazing-fast vector search & multimodal data lakehouse for AI. Unify petabyte-scale data to build & train production-ready AI apps.

  5. CrateDB: High-performance distributed SQL for real-time analytics, search, & AI. Unify data & get instant insights from massive datasets.

  6. SvectorDB allows you to set up a serverless vector database in under 120 seconds, perfect for RAG chatbots, document search, and recommendations.

  7. Enable every developer to build production-grade GenAI applications with powerful and familiar SQL. Minimal Learning, Max Value, and Cost-Effective.

  8. Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.

  9. HelixDB is a high-performance database system designed with a focus on developer experience and efficient data operations. Built in Rust and powered by LMDB as its storage engine, it combines the reliability of a proven storage layer with modern features tailored for AI and vector-based applications.

  10. MongoDB: The world's leading AI-ready database. Build & scale modern applications with a flexible document model, vector search, and unmatched agility.

  11. Dremio is a unified lakehouse platform. Empowers businesses with self-service analytics & AI. High-performance, flexible. No complex ETL. Used by Amazon & Maersk. Unlock data potential.

  12. Qdrant is a vector database for storing, searching, and managing high - dimensional vectors. It offers efficient storage, fast similarity search, scalability, and rich API. Ideal for AI, ML, and NLP applications. Click to learn more!

  13. Supercharge collaboration and productivity with Iterative. Automate data science workflows across the ML model development lifecycle.

  14. AgentDB: Instant, serverless database for AI applications. Scale autonomous agents with zero-setup provisioning, built-in vector search & optimized costs.

  15. ApertureDB: Simplify multimodal AI data. Fast vector search, knowledge graphs, data augmentation. Build smarter AI applications faster.

  16. Build on the only database that allows you to transact, analyze and contextualize your data in real time.

  17. CapybaraDB streamlines data management for AI apps. Built on MongoDB and Pinecone, it offers features like EmbJSON for semantic search, async processing, and native multi - modal support. Simplify AI development, reduce costs, and manage diverse data easily.

  18. Low code enterprise data platform for transformation, embedding and vector database load.

  19. SurrealDB: The multi-model cloud database with a real-time API backend. Consolidate your stack & build secure, collaborative apps faster.

  20. Organize, document, and share SQL queries effortlessly with Datascale. Enhance productivity and streamline data management with intuitive tools.

  21. Unlock the power of AI with Zing Data! Connect to multiple data sources, streamline visibility, and gain valuable insights for informed decision-making.

  22. Infinity is a cutting-edge AI-native database that provides a wide range of search capabilities for rich data types such as dense vector, sparse vector, tensor, full-text, and structured data. It provides robust support for various LLM applications, including search, recommenders, question-answering, conversational AI, copilot, content generation, and many more RAG (Retrieval-augmented Generation) applications.

  23. FalkorDB: Ultra-fast graph database. Achieve accurate GenAI with GraphRAG, eliminate LLM hallucinations, & scale 10K+ tenants with zero overhead.

  24. Activeloop-L0: Your AI Knowledge Agent for accurate, traceable insights from all multimodal enterprise data. Securely in your cloud, beyond RAG.

  25. Databend, built in Rust, is an open-source cloud data warehouse that serves as a cost-effective alternative to Snowflake. With its focus on fast query execution and data ingestion, it's designed for complex analysis of the world's largest datasets.

  26. Superduper is a platform for integrating and building AI with your database - for more flexible, secure and scalable enterprise AI adoption.

  27. InfluxDB: High-performance time series data platform. Ingest millions of data points/sec, cut storage costs 90%, and analyze with SQL in real-time.

  28. Supercharge your AI applications with Zilliz's Milvus vector database. Deploy and scale your vector search apps hassle-free with Zilliz Cloud.

  29. TypeDB: The AI-native database that models complex, interconnected data as it truly is. Power intelligent systems, AI, cybersecurity & fraud with strong typing.

  30. Solve AI hallucinations. Vectorize powers accurate, real-time AI agents & RAG pipelines with all your organizational data, including complex documents.

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