Software Alternatives, Accelerators & Startups

Zilliz VS Typesense

Compare Zilliz VS Typesense and see what are their differences

Zilliz logo Zilliz

Data Infrastructure for AI Made Easy

Typesense logo Typesense

Typo tolerant, delightfully simple, open source search 🔍
  • Zilliz Landing page
    Landing page //
    2023-09-14

Zilliz Cloud is a fully managed vector database based on the popular open-source Milvus. Zilliz Cloud helps to unlock high-performance similarity searches with no previous experience or extra effort needed for infrastructure management. It is ultra-fast and enables 10x faster vector retrieval, a feat unparalleled by any other vector database management system. Zilliz includes support for multiple vector search indexes, built-in filtering, and complete data encryption in transit, a requirement for enterprise-grade applications. Zilliz is a cost-effective way to build similarity search, recommender systems, and anomaly detection into applications to keep that competitive edge.

  • Typesense Landing page
    Landing page //
    2022-11-07

Zilliz

Website
zilliz.com
$ Details
freemium
Release Date
2017 January
Startup details
Country
China
State
Shanghai
City
Shanghai
Founder(s)
Charles Xie
Employees
50 - 99

Zilliz features and specs

No features have been listed yet.

Typesense features and specs

  • High Performance
    Typesense offers highly optimized search capabilities with fast response times, ensuring quick retrieval of search results even with large datasets.
  • Easy to Set Up
    Typesense is user-friendly and can be quickly set up using a simple configuration, making it accessible for developers who need a straightforward search solution.
  • Real-Time Indexing
    Typesense supports real-time indexing, meaning new data or updates to existing data are searchable almost immediately without significant delay.
  • Open Source
    Being an open-source solution, Typesense provides transparency, community support, and the possibility for customization to meet specific needs.
  • Typo Tolerance
    Typesense’s built-in typo tolerance allows for forgiving spell-check and correction, enhancing user experience by returning relevant results despite minor typing errors.
  • Faceted Search
    The platform supports faceted search, which lets users narrow down search results through various categories, improving relevancy and user navigation.

Possible disadvantages of Typesense

  • Limited Advanced Features
    Compared to some competitors, Typesense offers fewer advanced search features like natural language processing or machine learning-based relevance tuning.
  • Community Support
    Being relatively newer, Typesense has a smaller user base and community support compared to established search engines like ElasticSearch or Solr.
  • Documentation
    Some users may find Typesense’s documentation to be less comprehensive, potentially leading to a steeper learning curve for complex use-cases.
  • Scalability
    While Typesense is scalable, enterprise-level users managing extremely large datasets might find it less robust compared to established solutions that have been battle-tested in large-scale environments.
  • Ecosystem Integration
    The integration ecosystem is still developing, which means fewer out-of-the-box integrations with other popular tools and platforms compared to older search engines.

Analysis of Typesense

Overall verdict

  • Typesense is generally considered to be a good search engine solution, particularly for small to medium-scale applications where ease of use and performance are key considerations. It offers an excellent balance between functionality, customization, and ease of setup. However, for very large-scale applications, or if you need advanced features beyond what Typesense offers, it might be worth comparing with enterprise-level solutions.

Why this product is good

  • Typesense is an open-source search engine that's known for its speed, simplicity, and developer-friendly features. It is designed to be easy to deploy and integrate with applications, making it a great choice for projects that need a fast and efficient search solution. Typesense offers typo-tolerance, custom ranking, faceting, and real-time updates which are essential for delivering a seamless search experience. Additionally, it provides a well-documented API and modern client libraries which facilitate smooth development processes.

Recommended for

    Developers and teams looking for a lightweight, fast, and developer-friendly search engine for their web or mobile applications. Typesense is particularly suitable for projects that require real-time search, typo-tolerance, and a straightforward integration process.

Zilliz videos

Data Exchange Podcast (Episode 158): Frank Liu of Zilliz and Milvus

More videos:

  • Review - Embeddings: Discover the Key To Building AI Applications That Scale with Zilliz, Creator of Milvus

Typesense videos

Getting started with Typesense

Category Popularity

0-100% (relative to Zilliz and Typesense)
Search Engine
11 11%
89% 89
Custom Search Engine
3 3%
97% 97
Databases
100 100%
0% 0
Custom Search
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Zilliz and Typesense

Zilliz Reviews

We have no reviews of Zilliz yet.
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Typesense Reviews

Best Elasticsearch alternatives for search
A plug for yours truly! At Relevance AI, we’re building an Elasticsearch alternative that is very different to alternatives like Algolia and Typesense. Relevance AI search is an instant search API that understands “semantics”.
Source: relevance.ai
5 Open-Source Search Engines For your Website
Typesense is a fast, typo-tolerant search engine for building delightful search experiences. It claims that it is an Easier-to-Use ElasticSearch Alternative & an Open Source Algolia Alternative.
Source: vishnuch.tech
Recommendations for Poor Man's ElasticSearch on AWS?
Oh hey! I'm one of the co-founders of Typesense. Delighted to stumble on a mention of Typesense on Indiehackers. Long time lurker, first time poster :)

Social recommendations and mentions

Based on our record, Typesense should be more popular than Zilliz. It has been mentiond 58 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Zilliz mentions (9)

  • Why You Shouldn’t Invest In Vector Databases?
    In cases where a company possesses a strong technological foundation and faces a substantial workload demanding advanced vector search capabilities, its ideal solution lies in adopting a specialized vector database. Prominent options in this domain include Chroma (having raised $20 million), Zilliz (having raised $113 million), Pinecone (having raised $138 million), Qdrant (having raised $9.8 million), Weaviate... - Source: dev.to / about 1 month ago
  • Using Milvus-Lite Now
    If you saw my recent newsletter you can see I joined Zilliz to work on the Open Source AI Database, Milvus. - Source: dev.to / about 1 year ago
  • Practical Tips and Tricks for Developers Building RAG Applications
    If you find yourself unsure about the optimization process, leverage the power of benchmarking tools like VectorDBBench. This tool, developed and open-sourced by Zilliz, can evaluate all mainstream vector databases. It allows you to conduct comprehensive experiments and fine-tune your system for optimal performance. - Source: dev.to / about 1 year ago
  • My First Year in an AI Startup
    Last week I celebrated my first year at Zilliz 🎉, the startup behind the open source vector database Milvus, in the heart of the AI boom. Somehow, the year has been both the shortest and longest year of my 17 years in the software industry. It seems like a prudent time to stop, catch my breath, and reflect on what I’ve learned. - Source: dev.to / over 1 year ago
  • 7 Vector Databases Every Developer Should Know!
    Zilliz is a powerful vector database designed to empower developers and data scientists in building the next generation of AI and search applications. It offers a robust platform for scalable, efficient, and accurate vector search and analytics, supporting a wide array of AI-driven applications. - Source: dev.to / over 1 year ago
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Typesense mentions (58)

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What are some alternatives?

When comparing Zilliz and Typesense, you can also consider the following products

Weaviate - Welcome to Weaviate

Algolia - 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.

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

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

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

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.