Datameer

Connect to a broad variety of data sources with the help of robust connector support.

Its user interface is quite similar to that of Excel, making it easy to access your data.

Since it doesn't require any prior understanding of programming, there is a minimal learning curve for new users.

Concentration issues are possible while using a lot of tabs at once.

In most cases, the length of a tutorial video is excessive.

A more condensed design is certainly a viable option.

Scales data processing using elastic compute framework (Spark)

Simplifies the process of building ETL data pipelines in the cloud

Extensive data source connectivity and easily connects to source data using connectors

A fast learning curve with a no-code interface so anyone can use it

It provides an Excel-like interface to have quick and simple access to data

Transformation speed

Many tabs sometimes reduce your focus

Might be better to have a more compact design

Video tutorials are a little long

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.

It leverages scalability, flexibility and cost-effectiveness of hadoop to deliver an end-user focused analytic platform for big data without involvement of IT.

It overcomes Hadoop`s complexity by providing GUI interface with pre-built functions across integration, analytics and data visualization .

Excel feature is awesome for business users which is already provided by Datameer.

Using datameer now user can do smart analytic using Decision Trees, Column dependency and recommendation.

Recently HTML5 inclusion is making application to available on a wider range of devices, including the iPad and other mobile devices which does not support Flash.

It can be used in premise or in a cloud computing environment.

Wizard-based data integration designed for IT and business users to schedule and do transformation of large sets of structured, semi-structured and unstructured data without any knowledge of Hadoop ecosystem.

Email feature can be improved

It is the only solution out there that provides a true face to Hadoop and all the other technologies around it.

It enables regular users and analysts with capabilities that are only available for data scientists in other solutions.

It provides an "Excel-like" interface to have quick and simple access to data in Hadoop.

Data visualization and graphics. Right now it's not very user friendly. Creating dashboards requires a lot of work that can be done by the application

Importing data is quick and painless. Datameer has the ability to import anything through a JDBC connection and many other protocols.

Datameers Excel-like interfaces makes it easy for non-technical users to execute queries.

Datameers ability to also graphically represent their queries sets it apart from many tools.

Datameer does not have drill down capabilities on their infographics. This capability is will be supported by the end of Q1.

Datameer can be buggy if the version is not supported by the distribution of Hadoop being used.

Datameer does not make it simple to create samples of data sets.

Redefines Big Data Analytics from a business analyst perspective without having to understand Big Data in the first place.

Allows you to view sample data, which helps in rapid building of logic.

Abstracts the complexity of the MapReduce Paradigm (programming model for large data sets) and allows user friendly Excel-like analytics on top of Hadoop

MapReduce execution

Graceful exception handling code wise

It can work with large data sets since it uses Hadoop in the background to crunch data.

It is easy to use for non- technology savvy managers to get quick insights about the data.

Quick and easy to learn . It took me 2 days to get to a point where I could use it and pull reports from it on my own.

I missed having someplace to write your own code. SQL or JAVA would be really helpful . I am comparing this to what I have seen it Informatica PowerCenter or Business Objects.

The number of the functions available in the workbooks could be expanded. There is only so much one can perform with a limited set of functions. One tends to expect the functions available in MS Excel when you see a workbook like environment , especially if the target audience is non-tech savvy managers.

Could add some text features like regular expressions for text mining on data .

One of the biggest challenges is teaching other developers about Hadoop framework and Datameer is just the tool I needed to speed that process up.

Ease of use, intuitive user interface and SDK to extend the existing set of functions is what makes Datameer unique for big data processing.

Map Reduce code generated by user interface complies with our very strict performance requirements.

Some additional functions we have to implement ourselves to help customer solve specific problem

Machine learning, data analytic offering can be expanded.

Support for multiple clusters can be useful.