What users are saying about
7 Ratings
7 Ratings
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Score 7.2 out of 101

Likelihood to Recommend

DataStax

Datastax Cassandra is a Java based linearly scalable NoSQL database, best-in-class tunable performance, fault tolerant, distributed, masterless, time series database and has easy-to-use administration and monitoring functionality with opscenter. Configured correctly there is no downtime and no data loss. The documentation is exhaustive, and the community is agile and supportive, and Datastax provides good support. For all these reasons, Datastax Cassandra has become a NoSQL technology of choice for many platforms.However it has some time investment on infrastructure and regular operational tasks, and if you do not have bandwidth for it, a managed NoSQL solution like DynamoDB might be more appropriate. Also if you have search needs on Cassandra and do not have corresponding Spark/Solr setup, Datastax Cassandra might not be ideal for you.
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Pros

DataStax

  • Datastax Cassandra provides high availability and good performance for a database. It is built on top of open source Apache Cassandra so you can always somewhat understand the internal functioning and why.
  • Datastax Cassandra is fairly simple to start using, you can install/setup your cluster and be productive in 1 day.
  • Datastax Cassandra provides a lot of good detailed documentation, and when starting, the detailed free videos on the Datastax site and documentation are very helpful.
  • Datastax Enterprise Edition of Cassandra provides more tools, good support, and quick response SLA for enterprise business support.
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Cons

DataStax

  • Requires investment on hardware
  • Initial setup could be cumbersome
  • You need to be careful to use it only in the right context
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Likelihood to Renew

DataStax

DataStax 7.7
Based on 3 answers
We will continue to use it because it scales well with commodity hardware and we are satisfied with the documentation and support.
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Alternatives Considered

DataStax

Amazon DynamoDB and Datastax Cassandra are similar on masterless architecture and principles, DynamoDB is managed and needs cost analysis. If you need to have better control, Datastax is better.I also did a prototype with Google Spanner in one of the recent innovation days, it provides the best of both worlds but being a service on Google Cloud Platform(GCP) works if your services are primarily on GCP. Amazon Aurora is a relational database with higher performance and is a good candidate if search and default relational behavior is preferred.For now, Datastax worked well for us as it provides best in class performance across different kinds of read/write/mixed workloads. It provides linear scalability which works for the best performance, lowest latency and highest throughput. If configured correctly, there is no downtime and no data loss.
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Return on Investment

DataStax

  • It is able to completely fulfill the requirements
  • We think we'll have a positive ROI
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Pricing Details

DataStax

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

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