Apache Hive vs. dbt

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Hive
Score 8.1 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
dbt
Score 9.0 out of 10
N/A
dbt is an SQL development environment, developed by Fishtown Analytics, now known as dbt Labs. The vendor states that with dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. dbt Core is distributed under the Apache 2.0 license, and paid Teams and Enterprise editions are available.
$0
per month per seat
Pricing
Apache Hivedbt
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache Hivedbt
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Features
Apache Hivedbt
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Apache Hive
-
Ratings
dbt
9.5
7 Ratings
16% above category average
Simple transformations00 Ratings10.07 Ratings
Complex transformations00 Ratings9.07 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Apache Hive
-
Ratings
dbt
9.0
7 Ratings
12% above category average
Data model creation00 Ratings9.57 Ratings
Metadata management00 Ratings8.57 Ratings
Business rules and workflow00 Ratings9.07 Ratings
Collaboration00 Ratings10.05 Ratings
Testing and debugging00 Ratings8.17 Ratings
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Apache Hivedbt
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Cloudera Enterprise Data Hub
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IBM InfoSphere Information Server
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Oracle Exadata
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IBM InfoSphere Information Server
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All AlternativesView all alternativesView all alternatives
User Ratings
Apache Hivedbt
Likelihood to Recommend
8.0
(35 ratings)
10.0
(9 ratings)
Likelihood to Renew
10.0
(1 ratings)
-
(0 ratings)
Usability
8.5
(7 ratings)
9.5
(2 ratings)
Support Rating
7.0
(6 ratings)
-
(0 ratings)
User Testimonials
Apache Hivedbt
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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dbt Labs
The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.
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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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dbt Labs
  • dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
  • dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
  • dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
  • dbt can be easily integrated with snowflake.
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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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dbt Labs
  • Field-level lineage (currently at table level)
  • Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
  • Adding python model support (in beta now)
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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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dbt Labs
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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dbt Labs
It requires proficiency with SQL coding and with git practices, but with these prerequisites, it is easy to use. Especially with the dbt cloud, you get a nice interface that makes all the administrative tasks like scheduling jobs quite easy. I also like the built-in SQL editor with syntax highlighting and auto-completion.
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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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dbt Labs
No answers on this topic
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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dbt Labs
I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.
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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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dbt Labs
  • Simplified our BI layer for faster load times
  • Increased the quality of data reaching our end users
  • Makes complex transformations manageable
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