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DataStax is a NoSQL database offering from the California-based company of the same name.https://dudodiprj2sv7.cloudfront.net/product-logos/QJ/EJ/UDIWHAS0WTEI.pngMirror, Mirror on the Wall - Which is the best database of them all?Datastax Enterprise Edition for Cassandra is currently being used across multiple departments at our organization. It is used for various critical use cases and platform solutions where we are creating highly available, linearly scalable systems and services with good performance. We have used it for services used by tax domain and small businesses. Profile platform, AB testing platform and other services across product groups use Datastax Cassandra with good success.,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.,The move from SQL to NoSQL paradigm is always difficult for people who have been using SQL for most part of their technical lives. Even if NoSQL has better performance and is more scalable, the database interface/functionality needs to be seamless for users. This has always been the top challenge. Now with the advent of ACID and horizontally scaling Google Spanner, the competition is rife for what a database can provide. Though one can be immediately productive, if you get corner cases in your usage with Datastax Cassandra, you have to really know it better. There is a learning curve. Understanding Cassandra server logs, audit logs and sstables helps. Debugging can be longer especially if you hit corner cases, like not using Light Weight transaction correctly, timestamp ties or getting RuntimeException on scrub/repair/compaction (java.lang.RuntimeException: 30623431613136352d656433372d343939322d393066342d366632313961393530353062 is not defined as a collection) and such. Datastax Cassandra has great benefits in product, and features but there are costs on infrastructure maintenance and regular operational tasks. Not that there is any technical component that can self heal :-), but this time investment in Datastax Cassandra is more compared to SQL db, say MySQL.,Datastax can be more proactive in aggressively highlighting corner cases and workarounds themselves. This 180 degrees flip in handling issues can further help increase customer confidence.,7,Highly Scalable Database, Highly Available Services, and Platforms. High Performance, Low Latency and Highest throughput across varying workloads. Configured, Tuned and Monitored correctly works to provide the best user experience! Negative: Maintenance and Debugging Corner Cases,Amazon Aurora, Amazon DynamoDB and Google Spanner,Apache Spark,7Very reliable distributed data platformWe used Datastax in a POC and then, after appreciating its scalability and performances, we decided to use it for a real project. The project has a strict requirement to have the minimum possible latency and to reach a peak data rate in writing of more than 25k write per second. Moreover, we have the requirement to have replication between two data centers. We were able to reach our targets with a small cluster of 3+3 nodes.,Scalability: it provides near linear scalability being based on open source Cassandra Opscenter: it is a powerful and complete tool for monitoring You can use Spark for analytics workloads,Requires investment on hardware Initial setup could be cumbersome You need to be careful to use it only in the right context,The ability to add a node to an existing cluster with Vnodes is really awesome and you can even add a new data center with a low effort.,8,It is able to completely fulfill the requirements We think we'll have a positive ROI,Cloudera Enterprise,MongoDB, Cloudera Enterprise,8DataStax ReviewIt is being used by a department to address the need to rapidly ingest data.,It is always up, very fault tolerant. Tunable consistency, flexible in that regard. Nice management tools.,Support for aggregation functions is still limited.,9,Almost zero downtime, best for business continuity. Easy to do maintenance online.,7
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DataStax
7 Ratings
Score 7.2 out of 101
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DataStax Reviews

DataStax
7 Ratings
Score 7.2 out of 101
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July 27, 2017

DataStax Review: "Mirror, Mirror on the Wall - Which is the best database of them all?"

Score 7 out of 10
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Datastax Enterprise Edition for Cassandra is currently being used across multiple departments at our organization. It is used for various critical use cases and platform solutions where we are creating highly available, linearly scalable systems and services with good performance. We have used it for services used by tax domain and small businesses. Profile platform, AB testing platform and other services across product groups use Datastax Cassandra with good success.
  • 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.
  • The move from SQL to NoSQL paradigm is always difficult for people who have been using SQL for most part of their technical lives. Even if NoSQL has better performance and is more scalable, the database interface/functionality needs to be seamless for users. This has always been the top challenge. Now with the advent of ACID and horizontally scaling Google Spanner, the competition is rife for what a database can provide.
  • Though one can be immediately productive, if you get corner cases in your usage with Datastax Cassandra, you have to really know it better. There is a learning curve. Understanding Cassandra server logs, audit logs and sstables helps.
  • Debugging can be longer especially if you hit corner cases, like not using Light Weight transaction correctly, timestamp ties or getting RuntimeException on scrub/repair/compaction (java.lang.RuntimeException: 30623431613136352d656433372d343939322d393066342d366632313961393530353062 is not defined as a collection) and such.
  • Datastax Cassandra has great benefits in product, and features but there are costs on infrastructure maintenance and regular operational tasks. Not that there is any technical component that can self heal :-), but this time investment in Datastax Cassandra is more compared to SQL db, say MySQL.
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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October 04, 2017

DataStax Review: "Very reliable distributed data platform"

Score 8 out of 10
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Verified User
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We used Datastax in a POC and then, after appreciating its scalability and performances, we decided to use it for a real project. The project has a strict requirement to have the minimum possible latency and to reach a peak data rate in writing of more than 25k write per second. Moreover, we have the requirement to have replication between two data centers. We were able to reach our targets with a small cluster of 3+3 nodes.
  • Scalability: it provides near linear scalability being based on open source Cassandra
  • Opscenter: it is a powerful and complete tool for monitoring
  • You can use Spark for analytics workloads
  • Requires investment on hardware
  • Initial setup could be cumbersome
  • You need to be careful to use it only in the right context
The best scenarios where to use it are when you need a really high write rate and you know the queries you are going to execute in advance. If you don't know how you will access the data in advance it is better to look at other solutions.
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August 30, 2016

"DataStax Review"

Score 9 out of 10
Vetted Review
Verified User
Review Source
It is being used by a department to address the need to rapidly ingest data.
  • It is always up, very fault tolerant.
  • Tunable consistency, flexible in that regard.
  • Nice management tools.
  • Support for aggregation functions is still limited.
DataStax is best for simple data schema with high speed of writes. Data layout and modeling is centered around how it is going to be queried. It's not very appropriate for complex ad-hoc querying and analytics.
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About DataStax

DataStax is a NoSQL database offering from the California-based company of the same name.
Categories:  NoSQL Databases

DataStax Technical Details

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