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5 Ratings
102 Ratings
5 Ratings
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Score 3.5 out of 101
102 Ratings
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Score 8.5 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

The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.
Thomas Young 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
  • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
  • Faster in execution times compare to Hadoop and PIG Latin
  • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
  • Interoperability between SQL and Scala / Python style of munging data
Nitin Pasumarthy profile photo

Cons

  • The ten.do interface could use more detailed documentation
Marc Gilbert profile photo
  • Resource heavy, jobs, in general, can be very memory intensive and you will want the nodes in your cluster to reflect that.
  • Debugging, it has gotten better with every release but sometimes it can be difficult to debug an error due to ambiguous or misleading exceptions and stack traces.
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Usability

1010data8.0
Based on 1 answer
That's votes by our team.
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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
We evaluated SAS alongside with Apache Spark but during the course of proof of concept found that Apache Spark was able to support the hadoop eco-system and hadoop file system much better. It was much faster at that time while having the ability to process data quickly for the business analytical needs and and also scaled up well.
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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
  • 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

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