5 out of 5.0, Reviewed Aug 26, 2016
scalable and fault tolerant
understand backup strategy better
4 out of 5.0, Reviewed Aug 24, 2016
Best distributed database system designed for high writes and high availability
Difficult to understand where load in the system exists
5 out of 5.0, Reviewed Aug 21, 2016
Working under the DSE startup program with a dedicated technical representative has proved invaluable, especially as that support has aided in migrating our production Cassandra cluster from Datastax Community to the full enterprise version with OpsCenter and Lifecycle Cluster Management.
Take advantage of the Startup program to gain access to the full feature set of DSE, you'll find that OpsCenter and Lifecycle provide an ease of cluster management that saves significant time in operationalizing your production Cassandra deployment.
OpsCenter Cluster Management, the monitoring system can be configured to emit a webhook according to customizable alerts.
Roll out Datastax Enterprise earlier rather than relying on Datastax Community.
Responses from both the customer service representative and technical support has been useful and prompt.
NodeJS applications have worked seemlessly via the Datastax
5 out of 5.0, Reviewed Aug 20, 2016
Great support from the sales team to the technical expertise everything was outstanding.
Get started and reap the benefits of Cassandra + Datastax.com
Everything about the product as it compares with RDB that I have worked with for over 20 years I have now realize that we did everything backwards. I also have worked with open source products like Freeswitch and others and the technical expertise from Datstax is outstanding and they are very helpful.
Nothing, all has been great.
I cannot think of anything so far.
I would have found them sooner.
More than I will use. And that is good.
Always received great support in a timely fashion.
4 out of 5.0, Reviewed Aug 16, 2016
Upgrading to cassandra 3.0 is not easy. 3~5 Server crashes in 6 months.
Cassandra is a good option for performance in geo-replicated servers.
Cassandra's multi data center replication is cool.
Upgrading to Cassandra 3.0 should be easy.
Support features for cloud systems. Easy Auto Scaling Feature.
Cassandra 3.0 materialized view feature should be essential for application. I should wait for Cassdanra 3.0.
4 out of 5.0, Reviewed Aug 8, 2016
Datastax enables our cutting-edge search while allowing us to also store time-series data. The spark integration allows us to run streaming solution on top of cassandra. A team of 4 engineers rolled out the installation and data migration, it was that easy.
Just say no to SAN. Get Physical CPUs. Don't use Solr as silverbullet. Use it because it makes sense. Have a custodian for table design and create services on top of your installation before rolling out to wider teams.
The merging of all different principles like hinted/handoff, merkle trees, gossip and a true NO SINGLE POINT OF FAILURE. The integration with Solr is a bonus and saved us from writing one using Storm at the point of consideration.
SSL/LDAP tests were a pain in the beginning.
Provide more documentation when we required the most. Now it has lots of documentation but there was a stage when we didn't have any to follow. Also, strong focus on SSL/TLS, LDAP etc would help meet most financial institutions expectations at the outset.
I would not start the project without fully understanding the hardware you are planning to run. The hardware is a key component in the solution and you have to really understand performance disk/io, CPU. No to SAN really.
Not many tools out there with the feature set DSE offers. It is a unique combination offering search, analytics, and a big data database - all in one. The recent addition of graph feature into it makes it so much more appealing.
Follow the sun support works for us as sometimes we get help from EMEA and US teams. The Account manager is very accommodating of our concerns and issues and suggestions.
Solr was a pain as we didn't understand few things we shouldn't have done in Solr. SAN was a problem but with Datastax's help, we were able to find workarounds.
5 out of 5.0, Reviewed Aug 7, 2016
Working with DSE was impressive, it solved all our problems (data, analytics, monitoring) with only one product, one company and one very customers focus technical assistant. Our all series data are now stored in cassandra database clustered on 6 machine on 3 datacenters and we are able to provide 100% high-availability on the last two years. Datastax support was excellent and it drove us to replace also the Apache Spark instances using the DSE version created on top of Spark. DevOps operations on DSE are easy with the Operation Centers alert and analytics of the peak.
Using the right product to do your business right! If you have a lot of series data you have to use DSE.
The features created on top of the open source product as Cassandra, Spark and Elastic Search. So you can start "free" and scale with DSE when your business starts to grow up!
We will start immediatley with DSE for our very big series data. Avoiding expensive SQL architecture improvment and architecture scaling problem. The stack will easiest to governance and maintain with only a service of products from one company also in term of costs and technical support people.
We have a free support contract
5 out of 5.0, Reviewed Aug 6, 2016
Had a great relationship with the vendor especially since they have dedicated teams to assist startups.
4 out of 5.0, Reviewed Aug 4, 2016
Very good use case proof of concept exercise of the pre-sales team helped to make the decision
Take advantage of the technical pre-sale team knowledge for the use case before moving further
Distributed processing and H/W fault tolerance
Unknown devil at this time
Continued with the same technical pre-sales team until the project initial stage
Continued the technical pre-sale team in further part of the project
4 out of 5.0, Reviewed Jul 20, 2016
DataStax DSE has outstanding performance under heavy load. The built-in replication and failover capabilities fit well with our multi-datacenter infrastructure, saving us a lot of time and money and keeping our application healthy even when an entire datacenter goes off line. The OpsCenter administration and monitoring application and the online tools provided by DataStax make the system much easier to manage than typical systems of this size and complexity. DataStax has been an excellent partner. They worked with us closely on application and database design, database configuration and operational procedures. Their consultants were with us on the night of our rollout and played a key role in its ultimate success. One thing we discovered through trial and error was that the DSE stack is large and embraces many different technologies, and as a result, any one DataStax consultant is not likely to know it all well. We did go down a path for a while based on advice from one consultant which turned out to be the wrong one, and we also needed to get someone else assigned in order to iron out all of the operational issues we faced.
I have no special advice relating to DSE or DataStax that I haven't already discussed above.
It is fast and robust; application development is relatively simple.
Configuration and tuning are complex processes requiring real expertise.
Given the complexity of the product, a team approach to supporting new customers might work better than just sending a single consultant for all phases of the project.
We would ask to DataStax to review several different design and configuration approaches rather than making a decision with just a single consultant. Before deploying DataStax, we would review our virtualization and deployment capabilities to make sure we could automate deployment across our datacenters.
Replication was seamless. We have been able to deal with partitioned networks without incident. Performance has generally been excellent even under extreme loads.
Support personel are highly skilled.
DataStax helped us develop a run book, although it took some prodding to get them to provide examples.