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Zilliz

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Company health

Employee growth
26% increase in the last year
Web traffic
30% increase in the last quarter
Financing
May 2022 - $113M

Ratings

G2
4.7/5
(33)

Zilliz description

Zilliz Cloud is a cloud-based platform designed to manage and search massive volumes of data, perfect for tasks like product recommendations and identifying patterns. What sets it apart is its ability to find data similarities, not just exact matches, which is crucial for understanding complex data like images, text, and audio. Built on the open-source platform Milvus, Zilliz Cloud offers a user-friendly way to leverage this powerful technology without the headache of managing infrastructure. This makes it ideal for companies looking to enhance search accuracy, improve recommendations, or implement AI-driven insights.


Who is Zilliz best for

Zilliz Cloud simplifies managing and searching massive datasets for AI-driven insights. Users praise its easy-to-use dashboard and seamless integrations, especially for similarity searches across images, text, and audio. However, some find the initial setup challenging and the pricing potentially high. Best suited for businesses of all sizes using AI/ML, especially in E-commerce, Retail, or Software/IT.

  • Ideal for small to large businesses leveraging AI/ML applications.

  • Particularly well-suited for E-commerce, Retail, and Software/IT/Telecommunications.


Zilliz features

Type in the name of the feature or in your own words tell us what you need
Supported

Zilliz Cloud is a fully managed, cloud-native vector database service.

Supported

Zilliz supports vector similarity search using its vector database solutions like Milvus.

Supported

Zilliz Cloud and Milvus offer manual and auto-scaling options to accommodate changing needs.

Supported

Zilliz Cloud offers various deployment options, including multi-cloud and BYOC, enabling flexible and scalable cloud transition.

Supported

Zilliz supports high concurrency through scalable architecture and parallel processing.

Supported

Zilliz Cloud, built on Milvus, allows for scaling database capacity based on needs.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Customer Service

Rather positive
+0.33

Ease of Use

Strongly positive
+1

Reliability and Performance

Strongly positive
+0.71

Ease of Implementation

Rather positive
+0.6

Scalability

Strongly positive
+1

Zilliz reviews

We've summarised 33 Zilliz reviews (Zilliz G2 reviews) and summarised the main points below.

Pros of Zilliz
  • Easy-to-use dashboard and API for database management.
  • Seamless integration with various platforms and frameworks like TensorFlow and PyTorch.
  • Excellent performance and scalability for handling large vector datasets.
  • Provides comprehensive training resources, webinars, and helpful customer support.
  • AI integration simplifies complex tasks and improves efficiency.
Cons of Zilliz
  • Difficult initial setup for users unfamiliar with vector databases or cloud computing.
  • UI/dashboard could be improved for mobile use and user-friendliness.
  • Limited or immature community support compared to established technologies.
  • Occasional bugs and performance issues, especially under heavy load.
  • Pricing can be high, especially for renewals.

Zilliz pricing

The commentary is based on 15 reviews from Zilliz G2 reviews.

Zilliz Cloud offers a free trial and pay-as-you-go pricing. Users appreciate its value, citing affordable plans and cost-effectiveness. Some find the pricing or renewal costs high, but many consider it a worthwhile investment for managing vector databases. A pricing calculator aids in cost planning.

Users sentiment

Neutral
+0

See the Zilliz pricing page.


Zilliz alternatives

  • Logo of Milvus
    Milvus
    Open-source, providing cost savings compared to cloud-based alternatives. Lacks the managed service and additional features of some Zilliz alternatives.
    Read more
  • Logo of Microsoft SQL Server
    Microsoft SQL Server
    Better for structured data management. A more established SQL Server is a reliable Zilliz alternative for enterprise users. SQL Server has broader industry applicability. However, Zilliz is growing faster.
    Read more
  • Logo of Azure Synapse Analytics
    Azure Synapse Analytics
    Better for users working with massive datasets and complex data analysis. Geared towards medium to large businesses needing broader data analysis capabilities, not just vector similarity search. Has stronger website traffic growth.
    Read more
  • Logo of Pinecone
    Pinecone
    Better for medium to large businesses focused on AI/ML applications needing fast vector search. A Pinecone alternative, it offers a simpler setup for those new to vector databases. Pinecone boasts more positive user reviews regarding performance, ease of use, and seamless integration with AI/LLM tools. However, some users dislike Pinecone's pricing, limited ecosystem integration, and occasional downtime.
    Read more
  • Logo of Snowflake
    Snowflake
    Better for structured data and SQL-based analytics. Wider industry applicability across various sectors like healthcare, finance, and retail. Has less momentum compared to Zilliz, a Zilliz alternative and competitor. Users report some difficulties with the new UI and limited machine learning features.
    Read more
  • Logo of MongoDB Atlas
    MongoDB Atlas
    Better for developers and businesses needing flexible data storage. A popular Zilliz competitor and MongoDB alternative, suitable for various data needs. Handles diverse data types, unlike Zilliz's focus on unstructured data like images and audio.
    Read more

Zilliz FAQ

  • What is Zilliz and what does Zilliz do?

    Zilliz Cloud, built on Milvus, is a cloud-native vector database simplifying similarity searches for unstructured data like images, text, and audio. Ideal for AI-driven insights and enhanced search, it offers scalability, high concurrency, and easy integration with platforms like TensorFlow and PyTorch. It excels at finding data similarities, not just exact matches.

  • How does Zilliz integrate with other tools?

    Zilliz integrates seamlessly with popular AI/ML platforms like TensorFlow and PyTorch. It also offers a user-friendly API and dashboard for easy database management and integration with other tools. However, some users have noted initial setup challenges.

  • What the main competitors of Zilliz?

    Zilliz's main competitors include Milvus, Pinecone, and other vector databases. While Milvus is open-source, Pinecone offers a managed service similar to Zilliz Cloud. Traditional databases like Microsoft SQL Server, Azure Synapse, Snowflake, and MongoDB Atlas are also alternatives, but they are not specifically designed for vector similarity search.

  • Is Zilliz legit?

    Zilliz is a legitimate cloud platform built on the open-source Milvus platform. It's known for its robust vector similarity search capabilities and scalability. User reviews highlight its ease of use and performance, but some mention initial setup challenges and potential cost considerations.

  • How much does Zilliz cost?

    I couldn't find pricing details for Zilliz. For the most current pricing information, it's best to check their official website or contact their sales team.

  • Is Zilliz customer service good?

    Customer reviews on Zilliz's customer service are mixed. While some users mention "helpful customer support" and "blazing fast customer service," others express dissatisfaction with support for free users. Several reviews highlight the "easy implementation" and "user-friendly" nature of the platform.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.