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4.6 out of 5.0 (35 ratings)

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We have aggregated ratings data on DataStax but all of our reviewers have opted out of sharing their qualitative review feedback. In certain cases we allow reviewers to withhold their qualitative review feedback from public view, in order to protect their confidentiality.
  • 5 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    easy implementation, no downtime

    Overall Comment

    Great!

    What do you like most about the product or service?

    scalable and fault tolerant

    If you could start over, what would your organization do differently?

    understand backup strategy better

    Service & support - overall comment

    very responsive


  • 4 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Great product, requires some decent knowledge to make the most of it

    Overall Comment

    Great product!

    What one piece of advice would you give other prospective customers?

    Best distributed database system designed for high writes and high availability

    What do you dislike most about the product?

    Difficult to understand where load in the system exists

    Service & support - overall comment

    ....


  • 5 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Datastax Enterprise provides a comprehensive toolset for Cassandra database management.

    Overall Comment

    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.

    What one piece of advice would you give other prospective customers?

    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.

    What do you like most about the product or service?

    OpsCenter Cluster Management, the monitoring system can be configured to emit a webhook according to customizable alerts.

    If you could start over, what would your organization do differently?

    Roll out Datastax Enterprise earlier rather than relying on Datastax Community.

    Service & support - overall comment

    Responses from both the customer service representative and technical support has been useful and prompt.

    Integration & Deployment - Overall comment

    NodeJS applications have worked seemlessly via the Datastax


  • 5 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    TOP SHELF COMPANY AND TECHNOLOGY

    Overall Comment

    Great support from the sales team to the technical expertise everything was outstanding.

    What one piece of advice would you give other prospective customers?

    Get started and reap the benefits of Cassandra + Datastax.com

    What do you like most about the product or service?

    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.

    What do you dislike most about the product?

    Nothing, all has been great.

    What one thing do you wish the vendor did differently?

    I cannot think of anything so far.

    If you could start over, what would your organization do differently?

    I would have found them sooner.

    Product capabilities - overall comment

    More than I will use. And that is good.

    Service & support - overall comment

    Always received great support in a timely fashion.


  • 4 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Can you implement with restriction on 'in' query and on mutiple indices?

    Overall Comment

    Upgrading to cassandra 3.0 is not easy. 3~5 Server crashes in 6 months.

    What one piece of advice would you give other prospective customers?

    Cassandra is a good option for performance in geo-replicated servers.

    What do you like most about the product or service?

    Cassandra's multi data center replication is cool.

    What do you dislike most about the product?

    Upgrading to Cassandra 3.0 should be easy.

    What one thing do you wish the vendor did differently?

    Support features for cloud systems. Easy Auto Scaling Feature.

    If you could start over, what would your organization do differently?

    Cassandra 3.0 materialized view feature should be essential for application. I should wait for Cassdanra 3.0.

    Service & support - overall comment

    good


  • 4 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Easy to install and use. Requires more configuration control around Solr.

    Overall Comment

    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.

    What one piece of advice would you give other prospective customers?

    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.

    What do you like most about the product or service?

    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.

    What do you dislike most about the product?

    SSL/LDAP tests were a pain in the beginning.

    What one thing do you wish the vendor did differently?

    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.

    If you could start over, what would your organization do differently?

    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.

    Product capabilities - overall comment

    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.

    Service & support - overall comment

    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.

    Integration & Deployment - Overall comment

    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

    Product(s): DataStax Enterprise

    Working with DSE was impressive, it solved all our problems (data, analytics, monitoring)

    Overall Comment

    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.

    What one piece of advice would you give other prospective customers?

    Using the right product to do your business right! If you have a lot of series data you have to use DSE.

    What do you like most about the product or service?

    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!

    If you could start over, what would your organization do differently?

    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.

    Service & support - overall comment

    We have a free support contract


  • 5 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Great cost effective choice for early stage start-ups

    Overall Comment

    Had a great relationship with the vendor especially since they have dedicated teams to assist startups.


  • 4 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Implementation was easy with the help of pre-sales team.

    Overall Comment

    Very good use case proof of concept exercise of the pre-sales team helped to make the decision

    What one piece of advice would you give other prospective customers?

    Take advantage of the technical pre-sale team knowledge for the use case before moving further

    What do you like most about the product or service?

    Distributed processing and H/W fault tolerance

    What do you dislike most about the product?

    Unknown devil at this time

    What one thing do you wish the vendor did differently?

    Continued with the same technical pre-sales team until the project initial stage

    If you could start over, what would your organization do differently?

    Continued the technical pre-sale team in further part of the project


  • 4 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    High performance and high availability as advertised.

    Overall Comment

    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.

    What one piece of advice would you give other prospective customers?

    I have no special advice relating to DSE or DataStax that I haven't already discussed above.

    What do you like most about the product or service?

    It is fast and robust; application development is relatively simple.

    What do you dislike most about the product?

    Configuration and tuning are complex processes requiring real expertise.

    What one thing do you wish the vendor did differently?

    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.

    If you could start over, what would your organization do differently?

    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.

    Product capabilities - overall comment

    Replication was seamless. We have been able to deal with partitioned networks without incident. Performance has generally been excellent even under extreme loads.

    Service & support - overall comment

    Support personel are highly skilled.

    Integration & Deployment - Overall comment

    DataStax helped us develop a run book, although it took some prodding to get them to provide examples.


Show More Reviews

Ratings Overview

1 2 3 4 5
Section
1

Evaluation & Contracting

Overall rating of product evaluation and contract negotiation

(30)
4.7

Ability to understand your organization's needs

(34)
4.7

Timely and complete response to product questions

(35)
4.7

Pricing and contract flexibility (pricing and terms)

(30)
4.5
1 2 3 4 5
Section
1

Integration & Deployment

Overall rating of integration and deployment

(34)
4.4

How long did your deployment take?

0 - 3 months (<3)

3 - 6 months (<6)

6 - 9 months (<9)


Availability of quality 3rd-party resources (integrators, service providers, etc.)

(28)
3.8

Ease of integration using standard APIs and tools

(34)
4.3

Quality and availability of end-user training

(30)
4.5

Ease of deployment

(34)
4.2
1 2 3 4 5
Section
1

Service & Support

Overall rating of service and support

(34)
4.5

Did you purchase a support package from vendor?

Yes

No


Was the support package worth it?

Yes


Timeliness of vendor's response

(32)
4.7

Quality of technical support

(33)
4.5

Quality of peer user community

(31)
4.3
1 2 3 4 5
Section
1

Product Capabilities

Overall rating of product capabilities

(35)
4.7

High-speed,high volume processing

(33)
4.9

Automated data distribution

(33)
4.8

Multiple data types/structures

(31)
4.2

Tunable consistency

(32)
4.6

Support for embedding

(15)
3.5

Continuous high-speed ingest

(29)
4.8

Cloud/hybrid deployment

(24)
4.3

Security

(28)
4.2

Programmability for HTAP

(13)
4.1

Administration and management

(32)
4.1
1 2 3 4 5
Section
1

Additional Context

What was the nature of your involvement?

Technical Assessment

Application Lead

Development/Integration

Rollout and Install

Functional Assessment

Vendor/Product Selection

Maintenance and Support

Vendor Management

Executive Sponsor

User Training


What other vendors were considered? Multiple responses allowed.

MongoDB

Amazon Web Services

Couchbase

Basho Technologies

Cloudera

Redis Labs

Hortonworks

Oracle

MariaDB

Microsoft

Aerospike

VoltDB

DataStax

EnterpriseDB

MemSQL

IBM

MapR Technologies

Neo Technology

Percona

Pivotal

FairCom

Fujitsu

InterSystems

MarkLogic

NuoDB

Orient Technologies

TmaxSoft 

Other...


Why did you purchase an Operational Database Management Systems solution?

Process efficiency

Cost management

Deployment of mobile applications

Deployment of mobile devices

External audit recommendation

Implementing BYOD

Minimize risk of unmanaged devices

Other...


What were the key factors that drove your decision?

Product functionality and performance

Product roadmap and future vision

Overall cost

Strong user community

Strong services expertise

Strong customer focus

Breadth of services

Strong consulting partnership

Financial/organizational viability

Pre-existing relationships


In which region(s) did your deployment take place? Multiple responses allowed.

North America

EMEA

Europe, Middle East and Africa

Asia/Pacific

APAC

Latin America