What users are saying about
81 Ratings
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Score 7.9 out of 100
42 Ratings
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Score 9.1 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

Cloudera Enterprise Data Hub

Cloudera Enterprise offers the right mix of components to build a robust data platform which supports both reporting and analytics which can deal with all sorts of data.
Rakesh Neelavar Rao | TrustRadius Reviewer

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

Cloudera Enterprise Data Hub

  • One of the oldest distributors of enterprise standard Hadoop.
  • Distribution is based on open source Hadoop even though customizations are done on top of that.
  • Faster updates and bug fixes to the products as they have Apache committers.
  • Central configuration and control of your Hadoop platform (but still needs improvements).
Anonymous | 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

Cloudera Enterprise Data Hub

  • As any new technology, difficult to hire resources who know the solution specially in APJC to help with Lab and PoC activities.
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

Cloudera Enterprise Data Hub

Cloudera Enterprise Data Hub 8.2
Based on 7 answers
Cloudera is expanding with varied range of products and it looks to me as a challenging company and very competitive in the Big Data market. I would recommend to using the latest stable version as new features are added with each version and different bugs are fixed. As Big data is a constantly evolving so trying new Cloudera products helps businesses to stay competitive in the market domain as every big organization is now trying to move to Big Data.
Anonymous | TrustRadius Reviewer

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

Cloudera Enterprise Data Hub

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

Cloudera Enterprise Data Hub

No score
No answers yet
No answers on this topic

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

Cloudera Enterprise Data Hub

I have not evaluated any similar products, and in fact, don't know of any direct competitor. Amazon's Redshift has a similar spirit.
Lois Garcia, GSEC | 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

Cloudera Enterprise Data Hub

  • The tools in Cloudera Enterprise have enabled us to perform seamless upgrades and monitor the clusters
  • Investing in the support enables us to engage with Cloudera to get access to required patches and backports in case of bugs which helps with wider adoption of open source software in the enterprise.
  • Voice of the customer enabled us to put forth requests for new features across various components.
Rakesh Neelavar Rao | TrustRadius Reviewer

Pricing Details

Apache Hive

General

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

Cloudera Enterprise Data Hub

General

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

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