What users are saying about

1010data

5 Ratings

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97 Ratings

1010data

5 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 4 out of 101

Apache Spark<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>Customer Verified: Read more.</a>

97 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.6 out of 101

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Likelihood to Recommend

1010data

The software is excellent for any application which is too large for Excel. The visual interface surpasses that of most SQL platforms. It is quite useful for data mining in an exploratory way but less useful in statistical and regression analysis.
Marc Gilbert profile photo

Apache Spark

Spark is great as a workflow process and extract transform layer process tool. Is really good for machine learning especially for large datasets that can be processed in split file paralallelization. Spark streaming is scalable for close to real-time data workflow process.what it's not good for, is smaller subset of data processing.
Anson Abraham profile photo

Pros

  • Crunches huge datasets
  • Has versatility in functionality and grouping capabilities
  • Native XML macro language is easy to master
  • The platform has great visualization tools
Marc Gilbert profile photo
  • We used to make our batch processing faster. Spark is faster in batch processing than MapReduce with it in memory computing
  • Spark will run along with other tools in the Hadoop ecosystem including Hive and Pig
  • Spark supports both batch and real-time processing
  • Apache Spark has Machine Learning Algorithms support
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Cons

  • The ten.do interface could use more detailed documentation
Marc Gilbert profile photo
  • No true streaming.
  • Lack of strongly typed yet convenient APIs.
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Usability

1010data8.0
Based on 1 answer
That's votes by our team.
Henry PAN profile photo
No score
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Alternatives Considered

While we have used SQL, 1010data is really the only industry standard product available for our use.
Marc Gilbert profile photo
vs MapRedce, it was faster and easier to manage. Especially for Machine Learning, where MapReduce is lacking. Also Apache Storm was slower and didn't scale as much as Spark does. Spark elasticity was easier to apply compared to storm and MapReduce.managing resources for Spark was easier compared to storm as well. MapReduce is slower than spark.
Anson Abraham profile photo

Return on Investment

  • This has sped up the process of analysis.
  • We can now automate process which were performed manually.
  • Analysis can be performed more frequently.
Marc Gilbert profile photo
  • Workflow process using spark went from 1 day to 2 hours
  • Spark Streaming allowed for quick determiniation of data validity
  • spark on yarn was good for manangement. But Spark with Kubernetes was easier to use.
Anson Abraham profile photo

Pricing Details

1010data

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

Apache Spark

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