DataStax Competitors and Alternatives

The top DataStax competitors are
  • Cassandra
  • MapR
  • Neo4j
  • Hortonworks Data Platform
  • MongoDB
Read reviews of DataStax competitors and alternatives
MapR Logo
Real User
Founder at Chicago area Hadoop User Group (CHUG)
Mar 02 2018

What is most valuable?

MapR’s strength comes from their file system. Because they start with the raw disk, they are able to expose the storage through various APIs and... more»

How has it helped my organization?

To be clear, all of the main three vendors are capable of supporting multiple big data use cases. Where they differ is going to be in terms of... more»

What needs improvement?

All products have room for improvement. Because of MapR-FS, they have an incredible advantage in terms of stability, cross cluster replication,... more»

What's my experience with pricing, setup cost, and licensing?

Caveat Emptor! There are three main vendors of 'Hadoop' and each has their strengths and weaknesses. Its possible to build similar solutions on... more»

Which other solutions did I evaluate?

I support multiple vendors and their solutions.
Lubos Musil
Solution Architect with 10,001+ employees
Jun 14 2018

What do you think of Hortonworks Data Platform?

Primary Use Case: We use it for data science activities. • Improvements to My Organization: Data is now available. • Valuable Features: I have no preferences towards any feature. • Room for Improvement: Security Performance Workload management • Use of Solution: Less than one year.
Cassandra Logo
Ravi Gangwar
Database Developer at a tech services company with 10,001+ employees
Jan 18 2018

What do you think of Cassandra?

Primary Use Case: I designed a product catalog data model in Cassandra according to their features and properties, loading millions of data and performing the required queries over it.  Now, I am getting much better performance than relational databases. • Valuable Features: Here are some features which have been really helpful in my organisation: High Avaialability No downtime Better performance Greater scalability. HA is one of the great features of Cassandra with no downtime, e.g., you can achieve continuous data without a single downtime because of node to node ring architecture. • Room for Improvement: Maybe they can improve their performance in data fetching from a high volume of data sets.  • Use of Solution: One to three years. • Other Solutions...

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