What users are saying about
5 Ratings
65 Ratings
5 Ratings
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Score 3.5 out of 101
65 Ratings
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Score 8.1 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.
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Apache Hive

Apache Hive shines for ad-hoc analysis and plugging into BI tools. Its SQL-like syntax allows for ease of use not for only for engineers but also for data analysts. Through our experience, there are probably more desirable tools to use if you are planning on integrating Hive into your processing pipeline.
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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
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  • Apache Hive allows use to write expressive solutions to complex problems thanks to its SQL-like syntax.
  • Relatively easy to set up and start using.
  • Very little ramp-up to start using the actual product, documentation is very thorough, there is an active community, and the code base is constantly being improved.
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Cons

  • The ten.do interface could use more detailed documentation
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  • Needs to keep up with execution engine improvements. Spark or Tez on Hive, then LLAP are good starts.
  • Overall speed of ad-hoc querying could be improved.
Jordan Moore profile photo

Likelihood to Renew

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Apache Hive10.0
Based on 1 answer
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
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Usability

1010data8.0
Based on 1 answer
That's votes by our team.
Henry PAN profile photo
Apache Hive9.0
Based on 1 answer
Hive's support SQL like queries improves its usability since almost every potential user of Hive would have had experience with SQL.
Tom Thomas profile photo

Alternatives Considered

While we have used SQL, 1010data is really the only industry standard product available for our use.
Marc Gilbert profile photo
Hive was one of the first SQL on Hadoop technologies, and it comes bundled with the main Hadoop distributions of HDP and CDH. Since its release, it has gained good improvements, but selecting the right SQL on Hadoop technology requires a good understanding of the strengths and weaknesses of the alternative options
Jordan Moore 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
  • Allows analysts to use their SQL skills against large datasets.
  • Slow queries allow for opportunities to discover bottlenecks, parameters to tune, and alternative tools or ways to architect a system.
Jordan Moore 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 Hive

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