What users are saying about
81 Ratings
19 Ratings
81 Ratings
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Score 7.9 out of 100
19 Ratings
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Score 8.6 out of 100

Likelihood to Recommend

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.
Anonymous | TrustRadius Reviewer

MongoDB Atlas

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.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Database-as-a-Service

Apache Hive
MongoDB Atlas
9.3
Automatic software patching
Apache Hive
MongoDB Atlas
8.5
Database scalability
Apache Hive
MongoDB Atlas
9.1
Automated backups
Apache Hive
MongoDB Atlas
9.4
Database security provisions
Apache Hive
MongoDB Atlas
9.7
Monitoring and metrics
Apache Hive
MongoDB Atlas
9.7
Automatic host deployment
Apache Hive
MongoDB Atlas
9.4

Pros

Apache Hive

  • Hive syntax is almost like SQL, so for someone already familiar with SQL it takes almost no effort to pick up Hive.
  • To be able to run map reduce jobs using json parsing and generate dynamic partitions in parquet file format.
  • Simplifies your experience with Hadoop especially for non-technical/coding partners.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

MongoDB Atlas

  • DB Provisioning.
  • DB Management.
Gene Baker | TrustRadius Reviewer

Cons

Apache Hive

  • Use Hive for analytical work loads. Write once and read many scenarios. Do not prefer updates and deletes.
  • Behind scenes Hive creates map reduce jobs. Hive performance is slow compared to Apache Spark.
  • Map reduce writes the intermediate outputs to dial whereas Spark operates in in-memory and uses DAG.
Anonymous | TrustRadius Reviewer

MongoDB Atlas

  • It would be nice if MongoDB had a feature where in users could simply use Atlas as a tool to manage data on their cloud instead of hosting data on MongoDBs servers.
  • One of the drawbacks of MongoDB is the cost; Atlas isn't cheap either. Hopefully more competition will bring down the costs over time.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Apache Hive

Apache Hive 10.0
Based on 1 answer
Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.
Yinghua Hu | TrustRadius Reviewer

MongoDB Atlas

No score
No answers yet
No answers on this topic

Usability

Apache Hive

Apache Hive 8.5
Based on 9 answers
Thanks to its high usability Apache Hive enables users to craft extensive queries really efficiently and at the same time to how to hold response times very low. HiveQL simplicity makes it super easy to manage large datasets, what was almost an impossible task before introduction of Apache Hive data warehousing platform in our company.
Anonymous | TrustRadius Reviewer

MongoDB Atlas

No score
No answers yet
No answers on this topic

Support Rating

Apache Hive

Apache Hive 7.1
Based on 8 answers
Hive also has a community platform of its own just like other Hadoop frameworks. Most of the queries/problems are resolved in the community itself. We can just post our problems or get in touch with a specific user and get the issue resolved. Otherwise there is always the product support team for any resolution.
Partha Protim Pegu | TrustRadius Reviewer

MongoDB Atlas

MongoDB Atlas 9.4
Based on 3 answers
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
Anonymous | TrustRadius Reviewer

Alternatives Considered

Apache Hive

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
Manjeet Singh | TrustRadius Reviewer

MongoDB Atlas

When choosing a NoSQL, open source database, MongoDB is the clear winner from an implementation standpoint. For databases that are better suited for highly-organized data, a traditional database engine like MySQL, PostgreSQL, or Oracle's RDBMS may be a better choice. When the requirement is for a NoSQL production database, MongoDB and Atlas are the clear winners from an implementation and management perspective and is very cost-competitive with offerings from Azure Cosmos and Amazon Document DB.
Anonymous | TrustRadius Reviewer

Return on Investment

Apache Hive

  • It exposes the distributed calculation world (Hadoop) to the users but doesn't require the user to have the in-depth understanding of boilerplate details, it reduces the time of learning and let the data analyst can focus their efforts on the core business.
Anonymous | TrustRadius Reviewer

MongoDB Atlas

  • Positive - Faster provisioning so we don't have development teams waiting.
  • Positive - Automated backups and server management - eliminates need for dedicated DBAs.
Gene Baker | TrustRadius Reviewer

Pricing Details

Apache Hive

General

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

Apache Hive Editions & Modules

Additional Pricing Details

MongoDB Atlas

General

Free Trial
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

MongoDB Atlas Editions & Modules

Edition
Shared ClustersFree
Dedicated Clusters$572
Dedicated Multi-Reigon Clusters$952
  1. per month
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Apache Hive
8.0
MongoDB Atlas
9.1

Likelihood to Renew

Apache Hive
10.0
MongoDB Atlas

Usability

Apache Hive
8.5
MongoDB Atlas

Support Rating

Apache Hive
7.1
MongoDB Atlas
9.4

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