dbt vs. Oracle Warehouse Builder

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
dbt
Score 9.2 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
Oracle Warehouse Builder
Score 8.7 out of 10
N/A
Oracle Warehouse Builder (OWB) is a data-warehousing centered data integration solution, from Oracle. It offers basic ETL functionality for building a simple data warehouse, as well as advanced ETL functionality supporting enterprise data integration projects, along with connectivity for Oracle and SAP applications.N/A
Pricing
dbtOracle Warehouse Builder
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
dbtOracle Warehouse Builder
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
dbtOracle Warehouse Builder
Top Pros
Top Cons
Features
dbtOracle Warehouse Builder
Data Transformations
Comparison of Data Transformations features of Product A and Product B
dbt
9.7
5 Ratings
17% above category average
Oracle Warehouse Builder
10.0
5 Ratings
20% above category average
Simple transformations9.65 Ratings10.05 Ratings
Complex transformations9.95 Ratings10.04 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
dbt
9.0
5 Ratings
11% above category average
Oracle Warehouse Builder
8.2
5 Ratings
2% above category average
Data model creation9.15 Ratings10.04 Ratings
Metadata management8.65 Ratings6.04 Ratings
Business rules and workflow8.05 Ratings9.04 Ratings
Collaboration9.93 Ratings8.94 Ratings
Testing and debugging9.65 Ratings7.04 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
dbt
-
Ratings
Oracle Warehouse Builder
9.5
5 Ratings
13% above category average
Connect to traditional data sources00 Ratings10.05 Ratings
Connecto to Big Data and NoSQL00 Ratings9.02 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
dbt
-
Ratings
Oracle Warehouse Builder
8.0
3 Ratings
4% below category average
Integration with data quality tools00 Ratings8.03 Ratings
Integration with MDM tools00 Ratings8.02 Ratings
Best Alternatives
dbtOracle Warehouse Builder
Small Businesses
Skyvia
Skyvia
Score 9.7 out of 10
Skyvia
Skyvia
Score 9.7 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
dbtOracle Warehouse Builder
Likelihood to Recommend
9.6
(7 ratings)
8.0
(5 ratings)
User Testimonials
dbtOracle Warehouse Builder
Likelihood to Recommend
dbt Labs
If you can load your data first into your warehouse, dbt is excellent. It does the T(ransformation) part of ELT brilliantly but does not do the E(xtract) or L(oad) part. If you know SQL or your development team knows SQL, it's a framework and extension around that. So, it's easy to learn and easy to hire people with that technical skill (as opposed to specific Informatica, SnapLogic, etc. experience). dbt uses plain text files and integrates with GitHub. You can easily see the changes made between versions. In GUI-based UIs it was always hard to tell what someone had changed. Each "model" is essentially a "SELECT" statement. You never need to do a "CREATE TABLE" or "CREATE VIEW" - it's all done for you, leaving you to work on the business logic. Instead of saying "FROM specific_db.schema.table" you indicate "FROM ref('my_other_model')". It creates an internal dependency diagram you can view in a DAG. When you deploy, the dependencies work like magic in your various environments. They also have great documentation, an active slack community, training, and support. I like the enhancements they have been making and I believe they are headed in a good direction.
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Oracle
The best place for Oracle Warehouse Builder is at the business IT level. It's not suited for business-level users. They are easy confused. One way to reduce the confusion for the developers is to set up the workspaces based on the requirements that are discovered in design sessions. Once this is complete, the implementation of Oracle Warehouse Builder can take flight and be successful.
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Pros
dbt Labs
  • user experience makes it easy to work with SQL and version control
  • customer success team and the dbt (data build tool) community help establish best practices
  • thorough and clear documentation
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Oracle
  • Easy transformation.
  • Easy implementation from Oracle to Oracle systems.
  • Ease of usage and easy to learn.
  • Starting component of metadata management.
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Cons
dbt Labs
  • Slow load times of the dbt cloud environment (they're working on it via a new UI though)
  • More out-of-the-box solutions for managing procedures, functions, etc would be nice to have, but honestly, it's pretty easy to figure out how to adapt dbt macros
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Oracle
  • What I noticed is that sometimes OWB doesn't generate the best SQL in the package especially when there are a high number of source tables in the ETL. It would be nice if ETL developers were allowed to update the generated packages in the database directly.
  • Another thing - moving OWB ETLs from one database to another one could be easier - for example it would be nice to just copy the generated packages from one database to the other one without doing the deployment of these ETLs through OWB.
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Alternatives Considered
dbt Labs
Most ETL pipeline products have a T layer, but dbt just does it better. The transformation is on steroids compared to the others. Also, just allows much more Adhoc solutions for very specific projects. Those ETL tools are probably better on the T part if you don't need too many transforms - also dbt is pretty much free dependent on how you work it, also extremely scalable.
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Oracle
Ab>initio, IBM Datastage 8.0
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Return on Investment
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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Oracle
  • It improved understanding of ETL functions. Data is consistent. The speed is pretty good.
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