Apache Hive vs. MongoDB Atlas

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
MongoDB Atlas
Score 8.5 out of 10
N/A
MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
$57
per month
Pricing
Apache HiveMongoDB Atlas
Editions & Modules
No answers on this topic
Dedicated Clusters
$57
per month
Dedicated Multi-Reigon Clusters
$95
per month
Shared Clusters
Free
Offerings
Pricing Offerings
Apache HiveMongoDB Atlas
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Apache HiveMongoDB Atlas
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Apache Hive
-
Ratings
MongoDB Atlas
9.3
5 Ratings
6% above category average
Automatic software patching00 Ratings9.55 Ratings
Database scalability00 Ratings9.05 Ratings
Automated backups00 Ratings9.55 Ratings
Database security provisions00 Ratings9.55 Ratings
Monitoring and metrics00 Ratings9.55 Ratings
Automatic host deployment00 Ratings9.05 Ratings
Best Alternatives
Apache HiveMongoDB Atlas
Small Businesses
Google BigQuery
Google BigQuery
Score 8.6 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HiveMongoDB Atlas
Likelihood to Recommend
8.0
(35 ratings)
10.0
(5 ratings)
Likelihood to Renew
10.0
(1 ratings)
-
(0 ratings)
Usability
8.5
(7 ratings)
-
(0 ratings)
Support Rating
7.0
(6 ratings)
10.0
(2 ratings)
User Testimonials
Apache HiveMongoDB Atlas
Likelihood to Recommend
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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MongoDB
I would recommend MongoDB Atlas to every company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks. It also suits a smaller company as MongoDB Atlas scales up and down very quickly.
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Pros
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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MongoDB
  • DB Provisioning.
  • DB Management.
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Cons
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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MongoDB
  • As an independent entity, MongoDB Atlas is not included in existing subscriptions from AWS or Azure, requiring an additional support plan and reliance on a third party.
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Likelihood to Renew
Apache
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
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MongoDB
No answers on this topic
Usability
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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MongoDB
No answers on this topic
Support Rating
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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MongoDB
We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
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Alternatives Considered
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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MongoDB
MongoDB Atlas has been in the market for very long time and there are bunch of documentation, training and support for it. It also is specifically designed for the use case similar to our project and big companies in the market uses them for very high load which made us confident about our choice.
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Return on Investment
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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MongoDB
  • Improved our maintainability
  • Reduced daily work compared to self-hosted solutions
  • Reasonable pricing compared to value
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ScreenShots