Apache Drill vs. Apache Hive

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Drill
Score 8.1 out of 10
N/A
Apache Drill is a schema-free query engine for use with NoSQL or Hadoop data or file storage systems and databases.N/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
Apache DrillApache Hive
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache DrillApache 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
Community Pulse
Apache DrillApache Hive
Top Pros
Top Cons
Best Alternatives
Apache DrillApache Hive
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Oracle Exadata
Oracle Exadata
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache DrillApache Hive
Likelihood to Recommend
8.0
(1 ratings)
8.0
(35 ratings)
Likelihood to Renew
7.0
(1 ratings)
10.0
(1 ratings)
Usability
-
(0 ratings)
8.5
(7 ratings)
Support Rating
-
(0 ratings)
7.0
(6 ratings)
User Testimonials
Apache DrillApache Hive
Likelihood to Recommend
Apache
if you're doing joins from hBASE, hdfs, cassandra and redis, then this works. Using it as a be all end all does not suit it. This is not your straight forward magic software that works for all scenarios. One needs to determine the use case to see if Apache Drill fits the needs. 3/4 of the time, usually it does.
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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
Apache
  • queries multiple data sources with ease.
  • supports sql, so non technical users who know sql, can run query sets
  • 3rd party tools, like tableau, zoom data and looker were able to connect with no issues
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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
Apache
  • deployment. Not as easy
  • configuration isn't as straight forward, especially with the documentation
  • Garbage collection could be improved upon
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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
Apache
if Presto comes up with more support (ie hbase, s3), then its strongly possible that we'll move from apache drill to prestoDB. However, Apache drill needs more configuration ease, especially when it comes to garbage collection tuning. If apache drill could support also sparkSQL and Flume, then it does change drill into being something more valuable than prestoDB
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Apache
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
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Usability
Apache
No answers on this topic
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
Apache
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
Apache
compared to presto, has more support than prestodb. Impala has limitations to what drill can support apache phoenix only supports for hbase. no support for cassandra. Apache drill was chosen, because of the multiple data stores that it supports htat the other 3 do not support. Presto does not support hbase as of yet. Impala does not support query to cassandra
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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
Apache
  • Configuration has taken some serious time out.
  • Garbage collection tuning. is a constant hassle. time and effort applied to it, vs dedicating resources elsewhere.
  • w/ sql support, reduces the need of devs to generate the resultset for analysts, when they can run queries themselves (if they know sql).
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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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