1010data vs. Apache Hive

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
1010data
Score 8.5 out of 10
N/A
N/AN/A
Apache Hive
Score 8.2 out of 10
N/A
Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.N/A
Pricing
1010dataApache Hive
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
1010dataApache Hive
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
1010dataApache Hive
Small Businesses
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.1 out of 10
Oracle Exadata
Oracle Exadata
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
1010dataApache Hive
Likelihood to Recommend
10.0
(2 ratings)
8.0
(35 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(1 ratings)
Usability
8.0
(1 ratings)
8.5
(7 ratings)
Support Rating
-
(0 ratings)
7.0
(6 ratings)
User Testimonials
1010dataApache Hive
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
Software work execution is on a large scale, it is good to use for new projects or organizational changes, data lineage mapping has always been dubious but this one has had good results. You can store and synchronize data from different departments, the storage process can be manual but it is best automated.
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Pros
1010data
  • To "pool" their data for market analysis
  • Very large data analysis
  • Performance and scalability
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Apache
  • 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
1010data
  • The ten.do interface could use more detailed documentation
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Apache
  • Some queries, particularly complex joins, are still quite slow and can take hours
  • Previous jobs and queries are not stored sometimes
  • Switching to Impala can sometimes be time-consuming (i.e. the system hangs, or is slow to respond).
  • Sometimes, directories and tables don't load properly which causes confusion
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Likelihood to Renew
1010data
No answers on this topic
Apache
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
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Usability
1010data
That's votes by our team.
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Apache
Hive is a very good big data analysis and ad-hoc query platform, which supports scaling also. The BI processes can be easily integrated with Hadoop via the Hive. It can deal with a much larger data set that traditional RDBMS can not. It is a "must-have" component of the big data domain.
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Support Rating
1010data
No answers on this topic
Apache
Apache Hive is a FOSS project and its open source. We need not definitely comment on anything about the support of open source and its developer community. But, it has got tremendous developer support, awesome documentation. I would justify the fact that much support can be gathered from the community backup.
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Alternatives Considered
1010data
While we have used SQL, 1010data is really the only industry standard product available for our use.
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Apache
Besides Hive, I have used Google BigQuery, which is costly but have very high computation speed. Amazon Redshift is the another product, I used in my recent organisation. Both Redshift and BigQuery are managed solution whereas Hive needs to be managed
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Return on Investment
1010data
  • Positive impact on help business make a data-drive decision
  • Positive impact on big data analysis
  • Negative impact on user friendly
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Apache
  • Apache hive is secured and scalable solution that helps in increasing the overall organization productivity.
  • Apache hive can handle and process large amount of data in a sufficient time manner.
  • It simplifies writing SQL queries, hence helping the organization as most companies use SQL for all query jobs.
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ScreenShots