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Tobiko vs dbt comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

dbt
Ranking in Data Integration
11th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
Data Quality (5th)
Tobiko
Ranking in Data Integration
87th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of dbt is 1.4%, down from 1.7% compared to the previous year. The mindshare of Tobiko is 0.4%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
dbt1.4%
Tobiko0.4%
Other98.2%
Data Integration
 

Featured Reviews

Harshwardhan Gullapalli - PeerSpot reviewer
AI Engineer at a educational organization with 51-200 employees
Data pipelines have improved financial accuracy and now build transparent audit-ready reports
As for something I wish we had, dbt's native support for Python transformations came later, and we did some complex financial classification calculations that felt clunky in pure SQL. We ended up writing Python in our n8n workflows and then fed the results back into dbt, which created a bit of a split-brain situation. If we would have had dbt Python models earlier, we could have kept that logic unified. Managing multiple reporting standards was our biggest operational pain point with dbt. We were running UAE corporate tax compliance and IFRS disclosure workflows simultaneously for different clients, and dbt does not have a native concept of multi-tenant or multi-standard project organization. Everything lives in one flat structure, so we had to build more conventions: separate schema folders for IFRS models versus UACT models, custom macros to tag models by compliance regime, and environment variables to control which set of transformations run for which client.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Insurance Company
7%
Manufacturing Company
7%
Comms Service Provider
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
Large Enterprise6
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for dbt?
My experience with pricing, setup cost, and licensing for dbt is that dbt is open source for its core modules, so the pricing, setup, and everything was really good.
What needs improvement with dbt?
dbt can be improved by introducing Python. Ideally, I would want to be able to orchestrate across the DAG and have both Python and SQL combined. The last time I used it, it was not able to visualiz...
What is your primary use case for dbt?
My main use case for dbt is data pipelines. I build data transformations and usually construct analytics pipelines.
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Comparisons

No data available
 

Overview

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: June 2026.
900,644 professionals have used our research since 2012.