Datameer is great for sum
Updated October 17, 2015
Datameer is great for sum
Score 8 out of 10
Vetted Review
Verified User
Software Version
Enterprise
Modules Used
- LDAP authentication
Overall Satisfaction with Datameer Analytics Solutions
Several departments are using Datameer to aggregate large amounts of data from disparate sources.
- Datameer is an excellent "bridge" to Hadoop. Organizations who want to get started with a Hadoop cluster and the analytic capabilities provided by Hadoop, but do not have a large software development team to assist in creating Map/Reduce code are likely to be able to do some very cool things with their data with Datameer.
- The support team at Datameer has been very responsive and quite helpful. Online ticket/email for creation of support tickets, phone or web-ex as necessary.
- Much of the tool will be familiar looking to Excel users.
- Provides a single interface to many of the things a developer/analyst would need to do.
- No specific examples of this in general, but as you mature in your use of Datameer, you may have to decide between investing in training of your staff to use other tools in the Hadoop ecosystem, or you may need to increase your hardware investment a little faster than you would expect to keep pace with demand for the tool as it gains users. One con, specific to our organization is the ingestion-based license model, which could be too expensive for our uses. With other tools such as Hive, HBase, CouchDB, the costs are based on your hardware investment and support contracts (and license fees for Couch).
- It would be nice to have a mature API (web service based perhaps) for sharing infographics generated in Datameer and forward through a proxy or web portal. If we could have used Datameer to provide customer facing graphical output through our other web portals in a secure and manageable way, the value proposition of the Datameer product would have been increased tremendously as a solution. When we assessed doing this more than a year ago, we found the older style security API inadequate for this purpose. I was able to do a prototype use case through custom configuration and development methods around reverse proxies and the custom wrappers I built, but maintenance and administration would have been awkward. At current state of maturity in Hadoop tools, I think using Hadoop and associated tools as a work horse and data lake, as part of a data stream that is secured deep in your environment is the best approach. Reporting tools are maturing quickly to provide connectors to Hadoop, while facilitating report sharing in a proven manner, so I am very, very bullish on Hadoop in the long run. Learn more about Hadoop at www.datafoam.com.
- Cannot determine this accurately due to multiple variables changing simultaneously.
- Hive, Talend Open Studio and Pig
Datameer was not chosen to exclude other tools. Other tools are still used and gaining traction due to their suitability to a task and due to cost-effectiveness of license models. Every organization needs to determine the best approach to the data flow into and out of Hadoop, with considerations that include ease of use, reducing the time to make use of new data, security and governance. If you are new to Hadoop, consider this: Data warehouse techniques and technologies are very mature compared to Hadoop technology and usage, and Hadoop is positioned to dwarf many data warehouse use cases. As you ponder that last statement, the need for enterprise-wide security and governance policies that include Hadoop should become clearer (We do not need a separate data governance strategy for everything else, and something special for Hadoop).
Datameer Feature Ratings
Using Datameer Analytics Solutions
Using Datameer Analytics Solutions
| Pros | Cons |
|---|---|
Like to use Relatively simple Easy to use Well integrated Consistent Quick to learn Convenient Familiar | None |
- Quick prototyping/feasibility checking and data-diving
- Enough similarities to Excel usage, that if one spends time in the system, they will figure out how to use as a beginner
- Some complex analytics projects will require many worksheets in a workbook. Because of this, it is easy to lose track of where you are in your logical flow during development. A naming convention for your worksheets (to indicate raw data, filtered data, joined data, etc) will help a great deal. People with a lot of background in development and analytics should be OK, but some business analysts may have a learning curve to keep the model organized as they do the work.