DataStax Enterprise vs Milvus comparison

Why PeerSpot?

IBM and The Milvus Project are both solutions in the Vector Databases category. IBM is ranked #15 with an average rating of 8.4, while The Milvus Project is ranked #13. IBM holds a 2.1% mindshare in VD, compared to The Milvus Project’s 7.0% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of The Milvus Project users who would recommend it.

DataStax Enterprise

Read 7 DataStax Enterprise reviews

1,825 Views
1,004 Comparison Views

100% willing to recommend

Milvus

Read 5 Milvus reviews

4,841 Views
3,921 Comparison Views

100% willing to recommend

DataStax Enterprise

Milvus

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

DataStax Enterprise and Milvus are competing products in data management and analytics. DataStax Enterprise seems to have the upper hand with its comprehensive support and scalability.

Features: DataStax Enterprise offers advanced data replication, security, and analytics capabilities suitable for large-scale, real-time applications. It ensures robust real-time system solutions and efficient data management across different environments. Milvus provides efficient handling of vector data crucial for AI models, managing high-dimensional data effectively, making it ideal for AI-driven applications with a focus on specialized vector database solutions.

Ease of Deployment and Customer Service: DataStax Enterprise offers a well-documented enterprise-grade deployment model with extensive customer support, ensuring smooth setup and operation. Milvus adopts an open-source approach with various integrations and community-driven support, appealing to users seeking flexibility.

Pricing and ROI: DataStax Enterprise typically involves higher setup costs due to its extensive features and support, potentially leading to strong ROI for enterprise deployments. Milvus offers a more economical option with lower upfront costs, making it appealing to startups and AI-focused companies looking for cost-effective solutions.

To learn more, read our detailed DataStax Enterprise vs. Milvus Report (Updated: August 2026).

Buyer's Guide

DataStax Enterprise vs. Milvus

August 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

DataStax Enterprise

Ranking in Vector Databases

15th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

NoSQL Databases (11th)

Milvus

Ranking in Vector Databases

13th

Average Rating

7.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Open Source Databases (14th)

Mindshare comparison

As of September 2026, in the Vector Databases category, the mindshare of DataStax Enterprise is 2.1%, up from 0.7% compared to the previous year. The mindshare of Milvus is 7.0%, down from 7.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Milvus	7.0%
DataStax Enterprise	2.1%
Other	90.9%

Vector Databases

Featured Reviews

Pooja Singh

Devops Specialist at a tech vendor with 10,001+ employees

Reliable backup and recovery has protected critical telecom customer data in daily operations

When I was taking the backup with a data volume of 15 to 20 GB, the full backup running for the first time did not provide metrics to understand what percent of progress had been made. We had to read the logs, but we did not see any percentage in those logs. This is an improvement item for DataStax Enterprise to provide metrics, a bar, or a percentage so we can grasp how much data has been backed up or restored. There are no graphs available to make us aware of how long the process will take to complete, which is a drawback I noticed during backup and restore. In addition, I notice a huge time lag during restoration because each node takes a lot of time to be added to the pool and to the cluster node, one by one. The entire time the production is down presents a concerning situation. There should be an alternative for restoring where data can be provided to live traffic so it does not impact customers in the case of a disaster.

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Sameer Bhangale

Leader, Data Science Practice at a computer software company with 5,001-10,000 employees

Provides quick and easy containerization, but documentation is not very user-friendly

Milvus' documentation is not very user-friendly and doesn't help me get started quickly. Chroma DB provides super user-friendly documentation, enabling new users to get started quickly. Chroma DB's setup doesn't have many dependencies, whereas Milvus usually comes with some dependencies because of the way it needs to be deployed. Unlike Milvus, it's very easy to do POCs with Chroma DB.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"DataStax Enterprise has positively impacted my organization as we are now an e-commerce website that has never faced downtime, which helps our business to boom and significantly enhances our customer experience."

"The customer support for DataStax Enterprise is amazing, as any requests I have raised receive prompt responses, often within minutes, and the support engineers are knowledgeable and helpful."

"DataStax Enterprise is highly scalable, very reliable, and easy to manage and troubleshoot, helping us host a lot of complicated data efficiently because it is an upgraded version of relational database systems based on Cassandra, with a backup and recovery process that is also pretty smooth."

"Some of the positive outcomes I see are that system stability improved a lot, there is no single point of failure, so downtime is reduced significantly, and the system stays up even when we face issues in a node."

"I can share specific outcomes resulting from using DataStax Enterprise as we have been seeing an uptick in user adoption, since the introduction of this, our users have jumped from around 20,000 to 50,000."

"DataStax Enterprise has positively impacted my organization by helping us handle large amounts of data more easily and quickly, improving our system speed, and making our application more reliable."

"I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great."

"The best feature of Milvus was finding the closest chunk from a huge amount of data."

"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."

"Milvus offers multiple methods for calculating similarities or distances between vectors, such as L2 norm and cosine similarity. These methods help in comparing different vectors based on specific use cases. For instance, in our use case, we find that the L2 distance works best, but you can experiment with different methods to find the most suitable one for your needs."

"Milvus has good accuracy and performance."

"I like the accuracy and usability."

Cons

"The user interface of DataStax Enterprise can be simpler and easier to use, especially for new users, and I think it should be improved in that area."

"My experience with pricing, setup cost, and licensing is that I feel the cost is a bit expensive compared to the open-source implementation of Cassandra, and the initial cluster setup is complex."

"In addition, I notice a huge time lag during restoration because each node takes a lot of time to be added to the pool and to the cluster node, one by one."

"If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this."

"I believe DataStax Enterprise could be easier in areas such as operational complexity, especially for those coming from a traditional relational database background."

"I believe that DataStax Enterprise could be improved by working more on making the OpsCenter user interface more user-friendly, particularly regarding the fonts and overall UI."

"There is still room for improvement and DataStax Enterprise can definitely improve their UI."

"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."

"Milvus has higher resource consumption, which introduces complexity in implementation."

"Milvus could make it simpler. Simplifying the requirements and making it more accessible. It could be more user-friendly."

"Milvus' documentation is not very user-friendly and doesn't help me get started quickly."

Pricing and Cost Advice

Information not available

"Milvus is an open-source solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Outsourcing Company

11%

Construction Company

Manufacturing Company

Computer Software Company

11%

Manufacturing Company

10%

Comms Service Provider

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	7

No data available

Questions from the Community

What is your experience regarding pricing and costs for DataStax Enterprise?

My experience with pricing, setup cost, and licensing is pretty good. I do not find any difficulty in it.

See all answers

What needs improvement with DataStax Enterprise?

The user interface of DataStax Enterprise can be simpler and easier to use, especially for new users, and I think it should be improved in that area. Additionally, more built-in monitoring and aler...

See all answers

What is your primary use case for DataStax Enterprise?

My main use cases for DataStax Enterprise are building a scalable and high availability application that needs to handle large amounts of data across multiple locations, and for real-time analytics...

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Comparisons

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Compared 15% of the time

Cloudera Distribution for Hadoop vs DataStax Enterprise

Compared 10% of the time

Pinecone vs DataStax Enterprise

Compared 9% of the time

Neo4j Graph Database vs DataStax Enterprise

Compared 8% of the time

MarkLogic vs DataStax Enterprise

Compared 5% of the time

More DataStax Enterprise Competitors

Elastic Search vs Milvus

Compared 11% of the time

PostgreSQL vs Milvus

Compared 8% of the time

MongoDB Enterprise Advanced vs Milvus

Compared 7% of the time

LanceDB vs Milvus

Compared 6% of the time

MySQL vs Milvus

Compared 6% of the time

More Milvus Competitors

Product Reports

Buyer's Guide

DataStax Enterprise

September 2026

Download DataStax Enterprise product report

Buyer's Guide

Open Source Databases

September 2026

Download Milvus product report

Overview

DataStax Enterprise offers a high-performance, scalable database solution designed for modern data requirements, supporting a wide array of use cases that demand real-time analytics and robust security.

Focusing on delivering powerful distributed databases, DataStax Enterprise integrates the open-source foundation of Apache Cassandra, delivering enhanced features for enterprises. It supports mission-critical applications at scale, providing real-time query capabilities and fault tolerance. Designed with high availability and operational efficiency, it supports complex data models and simplifies management with advanced tools for monitoring and repair.

What are the standout features of DataStax Enterprise?

Advanced Security: Provides comprehensive data protection with encryption and identity management.
Graph Database Support: Allows complex data relationships to be easily modeled and queried.
Search Integration: Facilitates full-text search capabilities combined with Cassandra's strengths.
Analytics: Offers integrated analytics with Apache Spark for real-time data processing.
Multi-Cloud Support: Ensures easy deployment across different cloud environments without vendor lock-in.

What benefits should reviews highlight?

Scalability: Seamlessly expands to accommodate growing data volumes and user demands.
Performance: Maintains high-speed data processing even at massive scales.
Resilience: Provides high availability to ensure business continuity.
Cost Efficiency: Enables optimization of infrastructure investments with flexible deployments.

In industries such as finance, telecommunications, and retail, DataStax Enterprise is implemented to handle immense data workloads, often leveraging its capabilities for fraud detection, personalized customer experiences, and real-time decision-making. Its deployment in these sectors highlights its adaptability and performance in demanding environments.

IBM

Milvus is a powerful tool for efficiently storing and retrieving large-scale vectors or embeddings. It is widely used in applications such as similarity search, recommendation systems, image and video retrieval, and natural language processing.

With its fast and accurate search capabilities, scalability, and support for multiple programming languages, Milvus is suitable for a wide range of industries and use cases.

Users appreciate its efficient search capabilities, ability to handle large-scale data, support for various data types, and user-friendly interface.

Milvus enables easy retrieval of information from vast datasets, regardless of the data format, and is praised for its high performance and scalability. The intuitive and easy-to-use interface is also highlighted as a valuable aspect of the platform.

The Milvus Project

Sample Customers

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target

1. Alibaba Group 2. Tencent 3. Baidu 4. JD.com 5. Meituan 6. Xiaomi 7. Didi Chuxing 8. ByteDance 9. Huawei 10. ZTE 11. Lenovo 12. Haier 13. China Mobile 14. China Telecom 15. China Unicom 16. Ping An Insurance 17. China Life Insurance 18. Industrial and Commercial Bank of China 19. Bank of China 20. Agricultural Bank of China 21. China Construction Bank 22. PetroChina 23. Sinopec 24. China National Offshore Oil Corporation 25. China Southern Airlines 26. Air China 27. China Eastern Airlines 28. China Railway Group 29. China Railway Construction Corporation 30. China Communications Construction Company 31. China Merchants Group 32. China Evergrande Group

Buyer's Guide

DataStax Enterprise vs. Milvus

August 2026

Free Report: DataStax Enterprise vs. Milvus

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