What users are saying about
102 Ratings
13 Ratings
102 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.5 out of 101
13 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 5.6 out of 101

Add comparison

Likelihood to Recommend

Apache Spark

Apache Spark is very well suited for big data analytics in conjunction with the hadoop file system and also does a good job of providing fast access to data in SQL workloads since it has an in memory data processing engine that can very quickly process data. In addition, it can also be used for streaming data processing.
Shiv Shivakumar profile photo

Datameer

It is the first and only end-user focused application for Hadoop based analytics.
No photo available

Pros

  • It performs a conventional disk-based process when the data sets are too large to fit into memory, which is very useful because, regardless of the size of the data, it is always possible to store them.
  • It has great speed and ability to join multiple types of databases and run different types of analysis applications. This functionality is super useful as it reduces work times
  • Apache Spark uses the data storage model of Hadoop and can be integrated with other big data frameworks such as HBase, MongoDB, and Cassandra. This is very useful because it is compatible with multiple frameworks that the company has, and thus allows us to unify all the processes.
Carla Borges profile photo
  • 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.
No photo available

Cons

  • Increase the information and trainings that come with the application, especially for debugging since the process is difficult to understand.
  • It should be more attentive to users and make tutorials, to reduce the learning curve.
  • There should be more grouping algorithms.
Carla Borges profile photo
  • 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
Hector Jimenez profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
Datameer6.4
Based on 7 answers
Mostly for the complexity in analyzing data using visualizations or building dashboards.
Hector Jimenez profile photo

Usability

No score
No answers yet
No answers on this topic
Datameer9.0
Based on 1 answer
Easy to use for most things, starts to require some planning as your projects get more complex.
Mike Blizman profile photo

Alternatives Considered

Even with Python, MapReduce is lengthy coding. Combination of Python with Apache Spark will not only shorten the code, but it will effectively increase the speed of algorithms. Occasionally, I use MapReduce, but Apache Spark will replace MapReduce very soon. It has many built-in and faster features.
Kartik Chavan profile photo
I have compared Datameer with the tools listed above and it blows them out of the water. Datameer is much more user friendly than these tools and is also a lot more powerful. Once the Q1 release comes out with drill down capabilities on the infographics, Datameer will surpass Tableau and Spotfire in visualization.
Ryan Baltes profile photo

Return on Investment

  • Apache Spark has faster performance compared to MapReduce.
  • Combination of Python & Spark is the best. Shorter code, faster and efficient performance.
  • Can replace RDBMS
Kartik Chavan profile photo
  • It had a negative impact as more time was spent doing in Datameer than doing it in Hive SQL
Gaurav Chawla profile photo

Pricing Details

Apache Spark

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Datameer

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details