dbt vs. Fivetran

dbt

dbt

54 Reviews and Ratings

Fivetran

Fivetran

52 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
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.	N/A
Fivetran	Score 8.5 out of 10	N/A	Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…	$0.01 per credit

Pricing

dbt

Fivetran

Editions & Modules

No answers on this topic

Starter: $0.01
per credit
Standard: $0.01
per credit
Enterprise: $0.01
per credit

Offerings

Pricing Offerings
dbt	Fivetran
Free Trial
Yes	Yes
Free/Freemium Version
Yes	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Optional

Additional Details

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More Pricing Information

Community Pulse
	dbt	Fivetran
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?	Fivetran Verified User Anonymous Chose Fivetran Matillion requires a lot more initial setup effort and the resulting schemas are also much more "raw" data than the nicely cleaned schemas which Fivetran provides. Therefore it would also require more (manual) post-processing efforts compared to Fivetran. So the savings on time … Incentivized Helpful? Verified User Anonymous Chose Fivetran Fivetran is much easier to set up and maintain. Airbyte still had a degree of technical knowledge requirement that we didn't have the resources to commit. Fivetran allowed a non-technical employee to establish pipelines and immediately start using the data without having to … Incentivized Helpful? Uddipan Mukherjee Big Data Specialist Chose Fivetran Fivetran is a powerful data replication tool that supported use cases for organization-wide data platforms. Incentivized Helpful? Verified User Anonymous Chose Fivetran We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly. Incentivized Helpful? Sudarshan Kothari Senior Data Scientist Chose Fivetran Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 … Incentivized Helpful? Verified User Anonymous Chose Fivetran Fivetran is more intuitive and easier to use than code-based ETL/ELT tools. The data modelling Fivetran performs makes the data more usable more quickly. Fivetran's dbt support and integration is unique. Incentivized Helpful? Scott Laronge Head of Data Science Chose Fivetran Honestly, we haven't done much investigation in a while, it just works 360 days of the year. The other five days there may be a hiccup that will throw us a day off of data, but it gets caught up in the end. Incentivized Helpful?

Features

dbt

Fivetran

Data Transformations

Comparison of Data Transformations features of Product A and Product B
	dbt 9.5 Ratings 15% above category average	Fivetran 7.4 Ratings 10% below category average
Simple transformations	10.00 Ratings	7.50 Ratings
Complex transformations	9.00 Ratings	7.30 Ratings

Data Modeling

Comparison of Data Modeling features of Product A and Product B
	dbt 9.0 Ratings 12% above category average	Fivetran 6.2 Ratings 25% below category average
Data model creation	9.50 Ratings	2.00 Ratings
Metadata management	8.50 Ratings	4.00 Ratings
Business rules and workflow	9.00 Ratings	8.00 Ratings
Collaboration	10.00 Ratings	7.80 Ratings
Testing and debugging	8.00 Ratings	9.00 Ratings

Data Source Connection

Comparison of Data Source Connection features of Product A and Product B
	dbt - Ratings	Fivetran 10.0 Ratings 18% above category average
Connect to traditional data sources	00 Ratings	10.00 Ratings
Connecto to Big Data and NoSQL	00 Ratings	10.00 Ratings

Data Governance

Comparison of Data Governance features of Product A and Product B
	dbt - Ratings	Fivetran 8.3 Ratings 2% above category average
Integration with data quality tools	00 Ratings	8.30 Ratings
Integration with MDM tools	00 Ratings	8.30 Ratings

Best Alternatives
	dbt	Fivetran
Small Businesses	Skyvia Score 9.9 out of 10	Skyvia Score 9.9 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	Fivetran
Likelihood to Recommend	10.0 (0 ratings)	8.2 (0 ratings)
Usability	9.5 (0 ratings)	9.0 (0 ratings)
Performance	- (0 ratings)	8.0 (0 ratings)

User Testimonials
	dbt	Fivetran
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	[Fivetran is] very well suited when you are using popular and common data sources, such as the major ad platforms, and SaaS platforms such as Salesforce. If the majority of your data sources are custom internal applications or databases, may be less value as you aren't leveraging the delivered connectors. 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	Simplified ETL from a wide range of data sources Stable and painless data pipeline Granular control over what parts of the data source are loaded 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	Doesn't include support for a Kinesis stream as a data source so couldn't be used for some use cases under consideration Doesn't support the use of "BEFORE DELETE" triggers No support for serverless Aurora 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	Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector. Incentivized Verified User Anonymous Read full review
Performance	No answers on this topic	It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare. Incentivized Scott Laronge Head of Data Science 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	Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 places where Fivetran out-performed, other vendors. Incentivized Sudarshan Kothari Senior Data Scientist 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	Saved a lot of manual development days (unable to quantify) Accelerated the time to add a new source to the data warehouse a lot Incentivized Verified User Anonymous Read full review
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