| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 Hadoop | Score7.9 out of 10 | N/A | Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware. | N/A |
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| Considered Both Products | Chose Hadoop Different departments of my organization have been getting the benefit from Apache Hadoop as it serves the purpose of saving lives when large amounts of data is unable to be converted and processed in a timely manner from a node or a simple computer. Hadoop also has an easier … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop I feel that this is a highly reliable and scalable solution computing technology that is highly capable of processing large data sets across multiple servers and thousands of machines in a well-defined and distributed manner. Apache Hadoop can automatically scale up the number … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop MariaDB - Better to be already in the cloud you will use it for. Issues have improved as it has matured over the year.s CockroachDB - Not nearly as performant (even out of the box) as Apache Hadoop. More configurations required just to make it work. In memory cacheing is an issue. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Hadoop utilizes a SQL structure, which is great. You pay less for the services, but it's definitely less of an enterprise-level option and more just a good place to store your seldom-used data. Teradata and AWS are a lot faster in returning queries than Hadoop, but you pay … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Hands down, Hadoop is less expensive than the other platforms we considered. Cloudera was easier to set up but the expense ruled it out. MS-SQL didn't have the performance we saw with the Hadoop clusters and was more expensive. We considered MS-SQL mainly for its ability … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Apache Spark can be considered as an alternative because of its similar capabilities around processing and storing big data. The reason we went with Hadoop was the literature available online and integration capability with platforms like R Studio. The popularity of Hadoop has … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop
Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop
Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Hadoop offers a scalable, cost-effective and highly available solution for big data storage and processing. The use of a non-proprietary physical layer greatly reduces dependency on technology. It also offers elastic dimensioning capability when deployed on virtual machines or … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop No SQL database were evaluated along with MPP platform. Hadoop performs very well compared to the other platforms. Also since lot of investment goes into Hadoop there is a good chance of getting what one needs from the developer community. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Amazon Redshift is some what closer to Hadoop. But to analyze Petabytes of data Hadoop as better performance. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop As I am new to the hadoop ecosystem I have not used or evaluated any other similar products at this time. This was handed to me from a previous much older installation that was very under utilized. Our new platform will be working the new cluster much harder with jobs that run … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Hadoop was a cheaper alternative to Amazon. Since I had to pay for every minute I use with Amazon, I had to make sure multiple times that the code was good enough before I purchased with Amazon. But since Hadoop was available on the cluster, I had the opportunity to code on the … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Hadoop being open source, is cheaper to use and do POCs for clients. Cloudera, Hortonworks and MapR also compete to contribute to open source Hadoop and keep their product conceptually similar to Hadoop. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Apache Spark has an in memory processing model, making it powerful for lightning fast data processing. Apache Spark also exposes Scala and Python in APIs which is one of the most commonly used programming languages in data analytic and data processing domains. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Hadoop provides storage for large data sets and a powerful processing model to crunch and transform huge amounts of data. It does not assume the underlying hardware or infrastructure and enables the users to build data processing infrastructure from commodity hardware. All the … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Hadoop has a master slave architecture and comes with more features than Splunk. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose Hadoop Fast and scalable. More reliable as compared to the other products I have used. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info |
| Key User Insights | |
| Would buy again | |
No answers on this topic | |
| Delivers good value for the price | |
No answers on this topic | |
| Happy with the feature set | |
No answers on this topic | |
| Lived up to sales and marketing promises | |
No answers on this topic | |
| Implementation went as expected | |
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| Hadoop | |
|---|---|
| Likelihood to Recommend | 8.0 |
| Likelihood to Renew | 9.6 |
| Usability | 8.0 |
| Performance | 8.0 |
| Support Rating | 7.5 |
| Online Training | 6.1 |
| Data Sharing and Collaboration | 7.7 |
| Data Sources | 8.7 |
