What users are saying about
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100 Ratings

Apache Hive

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100 Ratings
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Score 8.2 out of 100
49 Ratings
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Score 8.7 out of 100

Attribute Ratings

  • Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 3 areas: Likelihood to Recommend, Usability, Support Rating

Likelihood to Recommend

8.3

Apache Hive

83%
37 Ratings
8.7

Databricks Lakehouse Platform

87%
15 Ratings

Likelihood to Renew

10.0

Apache Hive

100%
1 Rating

Databricks Lakehouse Platform

N/A
0 Ratings

Usability

8.7

Apache Hive

87%
8 Ratings
9.0

Databricks Lakehouse Platform

90%
3 Ratings

Support Rating

7.2

Apache Hive

72%
7 Ratings
7.5

Databricks Lakehouse Platform

75%
2 Ratings

Contract Terms and Pricing Model

Apache Hive

N/A
0 Ratings
8.0

Databricks Lakehouse Platform

80%
1 Rating

Professional Services

Apache Hive

N/A
0 Ratings
10.0

Databricks Lakehouse Platform

100%
1 Rating

Likelihood to Recommend

Apache Hive

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.
Camilo Palacios | TrustRadius Reviewer

Databricks Lakehouse Platform

If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
Anonymous | TrustRadius Reviewer

Pros

Apache Hive

  • 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.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Process raw data in One Lake (S3) env to relational tables and views
  • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
  • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
  • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
Anonymous | TrustRadius Reviewer

Cons

Apache Hive

  • 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
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Better Localized Testing
  • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
  • Graphing Support went non-existent; when it was one of their compelling general engine.
Anonymous | TrustRadius Reviewer

Pricing Details

Apache Hive

General

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

Starting Price

Apache Hive Editions & Modules

Additional Pricing Details

Databricks Lakehouse Platform

General

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

Starting Price

$0.07 Per DBU

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

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

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

Usability

Apache Hive

Apache Hive 8.7
Based on 8 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

Databricks Lakehouse Platform

Databricks Lakehouse Platform 9.0
Based on 3 answers
Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

in terms of graph generation and interaction it could improve their UI and UX
Anonymous | TrustRadius Reviewer

Support Rating

Apache Hive

Apache Hive 7.2
Based on 7 answers
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.
Ananth Gouri | TrustRadius Reviewer

Databricks Lakehouse Platform

Databricks Lakehouse Platform 7.5
Based on 2 answers
One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
Jonatan Bouchard | TrustRadius Reviewer

Alternatives Considered

Apache Hive

Apache Hives is a very effective tool. In contrast, we wanted our data warehouse to be the location for our file system data. We also wanted to avoid using Postgres. It's great for keeping track of logs when working on big data projects. It's very similar to SQL in how it works. Even though HQL has a limited command set, it can still be helpful. It provides a fantastic open-source MapReduce implementation.
Orin Mamun | TrustRadius Reviewer

Databricks Lakehouse Platform

Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of performance boost can be achieved in Databricks rather Open source synapse spark
Anonymous | TrustRadius Reviewer

Contract Terms and Pricing Model

Apache Hive

No score
No answers yet
No answers on this topic

Databricks Lakehouse Platform

Databricks Lakehouse Platform 8.0
Based on 1 answer
The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them
Jonatan Bouchard | TrustRadius Reviewer

Professional Services

Apache Hive

No score
No answers yet
No answers on this topic

Databricks Lakehouse Platform

Databricks Lakehouse Platform 10.0
Based on 1 answer
Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.
Jonatan Bouchard | TrustRadius Reviewer

Return on Investment

Apache Hive

  • 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.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.
Ann Le | TrustRadius Reviewer

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