Loading product reviews...
4.5 out of 5.0 (49 ratings)

Reviews Distribution

5 Stars
4 Stars
3 Stars
2 Stars
1 Star
We don't have any qualitative reviews for this vendor yet


View other vendors in this market
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

    A powerful solution, which is very simple to implement

    Overall Comment

    Our experience was AMAZING. Implementing Datastax Enterprise, saved us almost 6 months of work and headaches. We got access to DataStax Enterprise as part of their startup program. DSE had been instrumental in setting up our News and Social Media Analysis tools and crunching that data. Before DSE, we had been struggling for months with integrating different open source solutions for storing and analysing terabytes of news data. Setting up Datastax Enterprise was quick, with a lot of help from folks at Datastax and Training materials available in their website offered help for everything from Installation, designing the entire data center and defining schemas. We had multiple calls with Datastax Engineers, who helped us get the maximum out of DSE for our purpose.

    What do you like most about the product or service?

    The overall simplicity of initial setup and the amazing support.

    What one thing do you wish the vendor did differently?

    I wish the components that came bundled with DSE, was a little more updated version.

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

    If I could start over, I'd have signed up for DataStax Enterprise on Day 1. That would have saved us a year, we spent working with other vendors and open sourced versions of Cassandra, Spark and Solr.


  • 4 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    DataStax Enterprise is a great platform and continues to improve on each release

    Overall Comment

    Support staff is very skilled and friendly, response times are within SLAs. DataStax Enterprise is a great product and continues to improve on each release.

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

    Make sure DataStax architects review your data model before going live in Production, it will save you lots of headaches.

    What do you like most about the product or service?

    OpsCenter/DevCenter

    What do you dislike most about the product?

    Repair Service, Snapshot Backups

    What one thing do you wish the vendor did differently?

    Ensure production readiness and offer some sort of installation certification for best practices.

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

    Spend more time on database modeling and work closer with consulting services in this area.


  • 5 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Datastax brought us scalability we have never been able to achieve on competing platforms.

    Overall Comment

    Datastax's solution has allowed us to scale and do things we have never been able to do in record time. Their support has been there all along the way helping architect and solves challenges we had in order to hit our goals.

    What do you like most about the product or service?

    Integration of open source components to work in perfect unison with each other.

    What do you dislike most about the product?

    Always getting us excited about new things coming in the next version and having to wait a bit for them.

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

    We would skip the open source solutions and start working with Datastax earlier in the process. Once they were involved in our Cassandra deployment we were able to get things up and running and more smoothly much quicker.

    Service & support - overall comment

    Always around to provide competent and thorough solutions to our problems both in our implementation and in their own via hotfixes.


  • 5 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Great solutions for startups with less time and basic skills in Big-Data.

    Overall Comment

    DataStax has high expertise in the field of Big-Data and NoSQL databases. They are not just offering a 'product' but they offer a 'solution' for enterprises to implement and deploy big-data analytics in-house. Apart from the software solutions, their sales/support personnel are highly helpful.

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

    If you are developing applications separate out the transactional component(payments, banking etc) of your business - which is usually a tiny part, logic to use an RDMBS but select a good Big-Data ready NoSQL solution for the rest of the application logic. Once you have NoSQL architecture ready, select the solution that lets you integrate into multiple tool sets for visualization, analytics, ETL, reporting to make your business run smooth without having to switch vendors mid-cycle.

    What do you like most about the product or service?

    DSE is not bloated with unnecessary components - it is lean. DSE is easy to maintain and understand for the admins. DSE adopts the latest Cassandra, Spark, and other key components. OpsCenter is a great tool too.

    What one thing do you wish the vendor did differently?

    We wish DataStax came with powerful visualization tools and DAO-based Cassandra connectors for web-application frameworks. Expect more OpsCenter admin/maintenance operations.

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

    We started using a popular Relational DBMS when we started developing our analytics application and found out it wasn't sufficient for our scaling needs- then we tried existing big-data solutions for a month before deciding on DataStax. If we could start over we would've picked DataStax/Cassandra from the get-go and saved a few months of time/effort.

    Service & support - overall comment

    Very on-time and informative. Remember getting responses with a couple of hours around the clock. Having experts to answer the questions was very helpful.

    Integration & Deployment - Overall comment

    We deployed DSE on AWS and it was very convenient. Even though we started with smaller nodes for the cluster, we were able to replace them with large instance nodes without having a downtime - all done through the OpsCenter. It was easy and straight forward setup.


  • 4 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    All-in-on solution, relatively easy to deploy, but there is a learning curve

    Overall Comment

    Overall support from DSE is satisfactory. I can see they keep improving their products.

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

    Join the startup program.

    What do you like most about the product or service?

    Analytics component

    What do you dislike most about the product?

    Need more training material for DSE Analytics setup and performance tuning.

    What one thing do you wish the vendor did differently?

    More training information and better debugging capabilities.

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

    Subscribe to Datastax support earlier.

    Service & support - overall comment

    Response time is usually within the promised window.


  • 3 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Cassandra very scalable data store.

    Overall Comment

    Good product. Initial Support and documentation were lacking early on in 2012. Has improved, but a need for support has diminished with product experience.

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

    Learn about compaction strategies and Java VM garbage collection optimizations

    What do you like most about the product or service?

    Safety of data and ease of scaling

    What do you dislike most about the product?

    Debugging performance issues very difficult

    What one thing do you wish the vendor did differently?

    Indicated what operations are risky/resource intensive.

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

    Would architect the system to avoid wide rows.

    Service & support - overall comment

    Stack overflow provided 90% of our support requirements


  • 5 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Multiple features in one system with easy deployment.

    Overall Comment

    The system provides features that are good for large deployment. It is also fast in processing data and the performance is not compromised with the increase of usage. One good feature that we loved most is the redundancy system and the fast accessing and processing time.

    What do you like most about the product or service?

    Easy to deploy and use. Good redundancy system.

    Service & support - overall comment

    Queries was responded in timely manner and further assistance was provided if required.


  • 5 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Drop in value add on top of solid open source foundation.

    Overall Comment

    DataStax continues to provide excellent guidance on deployment and best practices while giving insight into their roadmap.

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

    Expect to dedicate multiple senior people to understanding the solution, scaling it, etc. This is typical of all complex data systems, since if you have scaling challenges then you should expect to understand your data systems at a deep level. If you don't have scaling challenges then you probably shouldn't consider complex systems.

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

    Modify commonly held best practices sooner to fit organization's needs. In the early days of adoption, we held to common wisdom too strictly and should have adopted it to meet our challenges more efficiently.

    Service & support - overall comment

    Prompt responses to technical questions. Willing to go back to engineering team for guidance. Multiple technical resources were made available.


  • 4 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Datastax helped us storing and manage a big amont of data without pain and always online

    Overall Comment

    Successful setup of-of a Datastax Cluster with 2 Cassandra Datacenters (1DC with 14 nodes, another with 5 nodes). We also use the building Spark on top of Cassandra. We tried Solr. We do manage to make it works but it does not fit our requirements in term of performance (average response time was twice superior as MongoDB, 5ms with Mongo, 10ms with Cassandra and Solr). That beeing said our setup of MongoDB does not share the data and all the data can be held on a single server with the index in memory whereas Cassandra shards the data : that can explain why so is a little slower. We mainly use Cassandra to store a big history of data about our users. It gave us the ability to grow our cluster without any pain.

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

    If possible test your use case on a dedicated platform and if not possible

    What do you like most about the product or service?

    The capability to be always online even when we perform the operation on the Datastax cluster and also the capability to grow our infrastructure without pain.

    What do you dislike most about the product?

    Still too much complexity (options, tricks, etc) that can be simplified in my opinion.

    What one thing do you wish the vendor did differently?

    I think Datastax should work a make the product easier to use for developers. Cassandra simplifies a lot of work for ops (ability to add, remove, upgrade the nodes works really great) but for developers, it comes with an extra cost in data modeling and tricky configuration.

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

    The data modeling is very painful and prevents us from having a model that match most our-our use cases. We some table as an index to help on that issue. We tried Solr but for a real-time workload and it does not fit. The configuration of a Solr index is still too complex (too many settings and tricks), it should be possible to declare it with a single instruction. We use Spark on Cassandra nodes (with the building option). At the beginning, it was the easy choice but now we think that it could be a mistake to mix application workload and spark workload with the same servers. Datastax recommends to use a dedicated DC for Spark but if comes with an extra cost for new servers and data stay licenses.

    Service & support - overall comment

    Support for startup is great, we always have a precise answer to our questions quicly.


  • 5 out of 5.0, Reviewed

    Product(s): DataStax Enterprise

    Great product, great service.

    Overall Comment

    Excellent startup program. Great customer service. The product just works which considering the combination of services provided is quite an achievement.

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

    Make sure to get the configuration correct during implementation, and make use of the available tools for data modeling and schema planning.

    What do you like most about the product or service?

    Performance.

    What do you dislike most about the product?

    Automated monitoring and configuration tools good be better.

    What one thing do you wish the vendor did differently?

    Provided Datastax as a Service - a fully managed implementation.

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

    Implement multiple data centers from the outset instead of adding on later.

    Service & support - overall comment

    Outstanding support, always quick to answer questions and help resolve issues.

    Integration & Deployment - Overall comment

    Deployment and configuration were fairly straightforward, although documentation was not always up to date with all available configuration properties.


Show More Reviews

Ratings Overview

1 2 3 4 5
Section
1

Evaluation & Contracting

Overall rating of product evaluation and contract negotiation

(41)
4.7

Ability to understand your organization's needs

(46)
4.6

Timely and complete response to product questions

(47)
4.6

Pricing and contract flexibility (pricing and terms)

(41)
4.5
1 2 3 4 5
Section
1

Integration & Deployment

Overall rating of integration and deployment

(47)
4.4

How long did your deployment take?

0 - 3 months (<3)

3 - 6 months (<6)

6 - 9 months (<9)

9 - 12 months (<12)

I don't know


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

(38)
3.8

Ease of integration using standard APIs and tools

(47)
4.3

Quality and availability of end-user training

(42)
4.4

Ease of deployment

(46)
4.3
1 2 3 4 5
Section
1

Service & Support

Overall rating of service and support

(48)
4.5

Did you purchase a support package from the vendor?

Yes

No

I’m unsure


Was the support package worth it?

Yes


Timeliness of vendor's response

(42)
4.7

Quality of technical support

(45)
4.5

Quality of peer user community

(44)
4.3
1 2 3 4 5
Section
1

Product Capabilities

Overall rating of product capabilities

(49)
4.6

High-speed,high volume processing

(47)
4.8

Automated data distribution

(47)
4.8

Multiple data types/structures

(44)
4.1

Tunable consistency

(44)
4.5

Support for embedding

(25)
3.8

Continuous high-speed ingest

(43)
4.7

Cloud/hybrid deployment

(36)
4.4

Security

(40)
4.2

Programmability for HTAP

(21)
3.9

Administration and management

(46)
4.2
1 2 3 4 5
Section
1

Additional Context

What was the nature of your involvement?

Application Lead

Development/Integration

Technical Assessment

Rollout and Install

Vendor/Product Selection

Functional Assessment

Maintenance and Support

Vendor Management

Executive Sponsor

User Training


What other vendors were considered?

MongoDB

Amazon Web Services

Couchbase

Cloudera

Basho Technologies

Microsoft

Hortonworks

Redis Labs

MariaDB

Oracle

DataStax

Aerospike

VoltDB

EnterpriseDB

IBM

MapR Technologies

MemSQL

Pivotal

MarkLogic

Neo Technology

Orient Technologies

Percona

FairCom

Fujitsu

InterSystems

NuoDB

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

Manage lost devices

Minimize risk of unmanaged devices

Other...


What were the key factors that drove your decision?

Product functionality and performance

Overall cost

Product roadmap and future vision

Strong user community

Strong customer focus

Strong services expertise

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

Asia/Pacific

EMEA

Europe, Middle East and Africa

APAC

Latin America