dbt vs. IBM watsonx.data integration

dbt

IBM watsonx.data integration

Overview
Product	Rating	Most Used By	Product Summary	Starting 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.	N/A
IBM watsonx.data integration	Score 7.0 out of 10	N/A	IBM watsonx.data integration works across all integration styles, data types and storage architectures to make pipeline design and optimization durable, and data AI-ready.	N/A

Pricing

dbt

IBM watsonx.data integration

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
dbt	IBM watsonx.data integration
Free Trial
Yes	No
Free/Freemium Version
Yes	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Pricing Info

Community Pulse
	dbt	IBM watsonx.data integration
Considered Both Products	dbt SI Sid Iyer BizOps Chose dbt dbt is very flexible and can fit into most data pipelines. This is a pro for most organizations that aren't fully bought into one platform (Google Cloud, etc.) Incentivized Helpful? Verified User Anonymous Chose dbt Matillion is graphical versus dbt, which is SQL code-based (that, of course, is a matter of personal preference and not an objective advantage). The integrated testing, documentation generation, lineage, etc., were additional criteria that led us to choose dbt. Incentivized Helpful? Verified User Anonymous Chose dbt 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 … Incentivized Helpful? Judy Campion Data Architect Chose dbt Snaplogic is great at the Extraction and Load processes of ETL. It can pull data from anywhere, even behind firewalls. So if you need to get data from various APIs, databases, files, S3, SFTP, etc it is easy to do so. However, it requires special knowledge in order to build … Incentivized Helpful? Verified User Anonymous Chose dbt I haven't come across anything like DBT before. Incentivized Helpful? YP Yoshlin Pillay Senior Data Entry Chose dbt 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 … Incentivized Helpful? Obed Espina Senior Data Engineer Chose dbt Airflow can accomplish the same work as dbt (data build tool), however, dbt's (data build tool) development workflow and UI can open up data transformation and modeling work to non-data engineering teams. Looker might also be able to define data models via LookML with a … Incentivized Helpful? Verified User Anonymous Chose dbt dbt is great because of its transformation capabilities Incentivized Helpful? DD Daniel Denunzio Data Architect Chose dbt dbt fits much better in our stack, where we're using specialized tools to support our ELT approach. Incentivized Helpful?	IBM watsonx.data integration Verified User Anonymous Chose IBM watsonx.data integration Both applications have pros and cons. IBM watsonx has a more intuitive workflow for beginners looking to kickstart the data pipeline orchestration process in an intuitive way. Incentivized Helpful? Verified User Anonymous Chose IBM watsonx.data integration These tools are more developer friendly and give users more controlled on the setup. kafka is best streaming ecosystem that I worked on. These tools have bigger ecosystem and stronger integrations, hybrid nature. Some are market leaders which increases the trust with … Incentivized Helpful? Verified User Anonymous Chose IBM watsonx.data integration IBM watsonx.data integration stands out in unifying structured and unstructured data with hybrid connectivity between legacy on-premise systems and cloud based systems. It supports governance-compliant retrieval so that the customer has control over what information can be … Incentivized Helpful? Verified User Anonymous Chose IBM watsonx.data integration They are more cost effective. The pipeline health management system is at par or rather better than the softwares mentioned above. Their pipeline failure and health communication system is far better as well. The third party software integration is also a plus in case of IBM … Incentivized Helpful?

Features

dbt

IBM watsonx.data integration

Data Transformations

Comparison of Data Transformations features of Product A and Product B
	dbt 9.7 Ratings 18% above category average	IBM watsonx.data integration 7.5 Ratings 8% below category average
Simple transformations	10.00 Ratings	7.30 Ratings
Complex transformations	9.50 Ratings	7.70 Ratings

Data Modeling

Comparison of Data Modeling features of Product A and Product B
	dbt 9.1 Ratings 15% above category average	IBM watsonx.data integration 7.2 Ratings 9% below category average
Data model creation	9.70 Ratings	7.30 Ratings
Metadata management	8.70 Ratings	6.50 Ratings
Business rules and workflow	9.00 Ratings	7.40 Ratings
Collaboration	10.00 Ratings	7.00 Ratings
Testing and debugging	8.00 Ratings	7.50 Ratings

Data Source Connection

Comparison of Data Source Connection features of Product A and Product B
	dbt - Ratings	IBM watsonx.data integration 6.7 Ratings 21% below category average
Connect to traditional data sources	00 Ratings	6.60 Ratings
Connecto to Big Data and NoSQL	00 Ratings	6.80 Ratings

Data Governance

Comparison of Data Governance features of Product A and Product B
	dbt - Ratings	IBM watsonx.data integration 7.6 Ratings 6% below category average
Integration with data quality tools	00 Ratings	7.30 Ratings
Integration with MDM tools	00 Ratings	7.90 Ratings

Best Alternatives
	dbt	IBM watsonx.data integration
Small Businesses	Skyvia Score 10.0 out of 10	Skyvia Score 10.0 out of 10
Medium-sized Companies	IBM InfoSphere Information Server Score 8.0 out of 10	IBM InfoSphere Information Server Score 8.0 out of 10
Enterprises	IBM InfoSphere Information Server Score 8.0 out of 10	IBM InfoSphere Information Server Score 8.0 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	dbt	IBM watsonx.data integration
Likelihood to Recommend	10.0 (0 ratings)	6.6 (0 ratings)
Usability	9.7 (0 ratings)	6.9 (0 ratings)

User Testimonials
	dbt	IBM watsonx.data integration
Likelihood to Recommend	dbt (Data Build Tool) is best suited for doing the data transformation. dbt is just a transformation tool and it is not suitable for building a data pipeline which requires extraction of data and loading. dbt is well suited for SQL based transformation logic and it is less appropriate when transformation logic requires python. Incentivized Sahil Khan Data Analyst Read full review	Well as per my experience, working with data flow within inprem and on cloud systems is best suited for this tool, also situations where we require data governance. Less appropriate situations would where we required modern features and stack that other new tools provide, its too lag and slow and consumes lot of efforts for setting up Incentivized Verified User Anonymous Read full review
Pros	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 Obed Espina Senior Data Engineer Read full review	Automated data pipeline orchestration. Data quality and governance. Scalable integration across hybrid environments. Incentivized Verified User Anonymous Read full review
Cons	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 Incentivized Verified User Anonymous Read full review	User interface and learning curve. Limited flexibility in advanced transformations. Incentivized Verified User Anonymous Read full review
Usability	dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things. Incentivized SI Sid Iyer BizOps Read full review	IBM watsonx.data integration provides no/less code option to build pipelines. With AI integration, we can design pipelines in plain English without needing to be an ETL expert. It provides a unified platform that saves a lot in licensing and managing multiple transformation tools, as it takes care of all that Incentivized Verified User Anonymous Read full review
Alternatives Considered	Matillion is graphical versus dbt, which is SQL code-based (that, of course, is a matter of personal preference and not an objective advantage). The integrated testing, documentation generation, lineage, etc., were additional criteria that led us to choose dbt. Incentivized Verified User Anonymous Read full review	Both applications have pros and cons. IBM watsonx has a more intuitive workflow for beginners looking to kickstart the data pipeline orchestration process in an intuitive way. Incentivized Verified User Anonymous Read full review
Return on Investment	In 3 months we re-wrote the data warehouse (15-20 sources) in dbt with 3 developers. We are using it continually for the past year with no issues. Sorry, I don't have ROI numbers but the impact was huge. Incentivized Judy Campion Data Architect Read full review	Reduced manual data preparation time. Improved forecasting and decision-making. Incentivized Verified User Anonymous Read full review
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