# Top 10 dbt Alternatives & Competitors

(209)4.7 out of 5

While dbt is a leading solution in DataOps Platforms, it's frequently compared with similar tools that offer different strengths. DataOps Platforms is used by teams seeking top rated, powerful platforms with features like data observability, automated workflows, and ai text summarization, according to G2 reviews. When comparing dbt with other tools, reviewers most often evaluate version control and features as key differentiators.   
 The best overall alternative to dbt is [Databricks](https://www.g2.com/products/databricks/reviews), rated ~4.6 stars on G2 from 1335+ reviewers. It is frequently praised for collaboration and analytics. Other well-known alternatives to dbt are: 
- [Alteryx](https://www.g2.com/products/alteryx/reviews) – known for automation and intuitive (G2 star rating ~4.6)
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) – highly rated for speed and fast querying (G2 star rating ~4.5)
- [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) – offers easy integrations and user interface (G2 star rating ~4.4)
- [Maia](https://www.g2.com/products/matillion-maia/reviews) – best suited for teams that need automation and simple (G2 star rating ~4.5)

 Browse top options below. Based on G2 review data, dbt is most commonly used in industries like [DataOps Platforms](https://www.g2.com/categories/dataops-platforms), [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse), [Analytics Platforms](https://www.g2.com/categories/analytics-platforms). Compare user ratings by vertical to find the best fit.

## Best Paid & Free Alternatives to dbt

- Databricks
- Alteryx
- Google Cloud BigQuery
- SnapLogic Intelligent Integration Platform (IIP)
- Maia
- Snowflake
- Azure Data Factory
- Monte Carlo

## Top 10 Alternatives to dbt Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how dbt stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Retail, and Hospital & Health Care, and find the best product for your business.

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[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image")
](https://www.g2.com/products/databricks/reviews)

[
Databricks
](https://www.g2.com/products/databricks/reviews)

By [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)

[

4.6/5(1,365)

](https://www.g2.com/products/databricks/reviews#reviews)

Product Description

Making big data simple

Reviewers say compared to dbt, Databricks is:

Slower to reach roi

More expensive

Easier to do business with

Categories in common with dbt:

[
Big Data Analytics
](/categories/big-data-analytics)[
ETL Tools
](/categories/etl-tools)[
DataOps Platforms
](/categories/dataops-platforms)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/2c6c77d8284b2f6609c2f9dc0ba6b5a9/alteryx.png "Product Avatar Image")
](https://www.g2.com/products/alteryx/reviews)

[
Alteryx
](https://www.g2.com/products/alteryx/reviews)

By [Alteryx](https://www.g2.com/sellers/alteryx)

[

4.6/5(893)

](https://www.g2.com/products/alteryx/reviews#reviews)

Product Description

Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.

Reviewers say compared to dbt, Alteryx is:

Slower to reach roi

More expensive

Easier to do business with

Categories in common with dbt:

[
Big Data Analytics
](/categories/big-data-analytics)[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)[
Data Preparation
](/categories/data-preparation)[
ETL Tools
](/categories/etl-tools)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/96b275379465d759df5bffd0099d849a/google-cloud-bigquery.png "Product Avatar Image")
](https://www.g2.com/products/google-cloud-bigquery/reviews)

[
Google Cloud BigQuery
](https://www.g2.com/products/google-cloud-bigquery/reviews)

By [Google](https://www.g2.com/sellers/google)

[

4.5/5(1,224)

](https://www.g2.com/products/google-cloud-bigquery/reviews#reviews)

Product Description

Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.

Reviewers say compared to dbt, Google Cloud BigQuery is:

Slower to reach roi

Easier to set up

Categories in common with dbt:

[
Big Data Analytics
](/categories/big-data-analytics)[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)[
ETL Tools
](/categories/etl-tools)

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Sponsored

G2 Advertising

Get 2x conversion than Google Ads with G2 Advertising!

G2 Advertising places your product in premium positions on high-traffic pages and on targeted competitor pages to reach buyers at key comparison moments.

[
Learn More
](https://sell.g2.com/case-studies/how-aisdr-uses-g2-ads-to-turn-g2-into-top-5-traffic-source)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/c476c9375398c3b68bbf5ff649015bba/snaplogic-intelligent-integration-platform-iip.png "Product Avatar Image")
](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)

[
SnapLogic Intelligent Integration Platform (IIP)
](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews)

By [SnapLogic](https://www.g2.com/sellers/snaplogic)

[

4.4/5(405)

](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews#reviews)

Product Description

SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the enterprise and empowers everyone to integrate faster and easier. Whether you are automating business processes, democratizing data, or delivering digital products and services, SnapLogic enables you to simplify your technology stack and take your enterprise further. Thousands of enterprises around the globe rely on SnapLogic to integrate, automate and orchestrate the flow of data across their business. Join the generative integration movement at snaplogic.com.

Reviewers say compared to dbt, SnapLogic Intelligent Integration Platform (IIP) is:

Slower to reach roi

More expensive

Easier to set up

Categories in common with dbt:

[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)[
ETL Tools
](/categories/etl-tools)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/e35b9509b73c5426308c72217a959295/matillion-maia.png "Product Avatar Image")
](https://www.g2.com/products/matillion-maia/reviews)

[
Maia
](https://www.g2.com/products/matillion-maia/reviews)

By [Matillion](https://www.g2.com/sellers/matillion)

[

4.5/5(125)

](https://www.g2.com/products/matillion-maia/reviews#reviews)

Product Description

Maia is a team of expert AI agents that work continuously across the data lifecycle, mapped to real data team roles to remove manual work as the limit on what you can deliver. Autonomous AI agents build, govern, and evolve data products at scale—so your engineers focus on outcomes, and your business stops waiting on data.

Reviewers say compared to dbt, Maia is:

Slower to reach roi

More expensive

More usable

Categories in common with dbt:

[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)[
ETL Tools
](/categories/etl-tools)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image")
](https://www.g2.com/products/snowflake/reviews)

[
Snowflake
](https://www.g2.com/products/snowflake/reviews)

By [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc)

[

4.6/5(764)

](https://www.g2.com/products/snowflake/reviews#reviews)

Product Description

Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.

Reviewers say compared to dbt, Snowflake is:

Slower to reach roi

Easier to set up

Easier to do business with

Categories in common with dbt:

[
Big Data Analytics
](/categories/big-data-analytics)[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/f176b4154a751d10150daa67a57b7dc5/azure-data-factory.jpg "Product Avatar Image")
](https://www.g2.com/products/azure-data-factory/reviews)

[
Azure Data Factory
](https://www.g2.com/products/azure-data-factory/reviews)

By [Microsoft](https://www.g2.com/sellers/microsoft)

[

4.6/5(101)

](https://www.g2.com/products/azure-data-factory/reviews#reviews)

Product Description

Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity: ADF offers over 90 built-in connectors, allowing integration with a wide array of data sources, including relational databases, NoSQL systems, SaaS applications, APIs, and cloud storage services. - Code-Free Data Transformation: Utilizing mapping data flows powered by Apache Spark™, ADF enables users to perform complex data transformations without writing code, streamlining the data preparation process. - SSIS Package Rehosting: Organizations can easily migrate and extend their existing SQL Server Integration Services (SSIS) packages to the cloud, achieving significant cost savings and enhanced scalability. - Scalable and Cost-Effective: As a serverless service, ADF automatically scales to meet data integration demands, offering a pay-as-you-go pricing model that eliminates the need for upfront infrastructure investments. - Comprehensive Monitoring and Management: ADF provides robust monitoring tools, allowing users to track pipeline performance, set up alerts, and ensure efficient operation of data workflows. Primary Value and User Solutions: Azure Data Factory addresses the complexities of modern data integration by providing a unified platform that connects disparate data sources, automates data workflows, and facilitates advanced data transformations. This empowers organizations to derive actionable insights from their data, enhance decision-making processes, and accelerate digital transformation initiatives. By offering a scalable, cost-effective, and code-free environment, ADF reduces the operational burden on IT teams and enables data engineers and business analysts to focus on delivering value through data-driven strategies.

Reviewers say compared to dbt, Azure Data Factory is:

Slower to reach roi

More expensive

Easier to set up

Categories in common with dbt:

[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)[
ETL Tools
](/categories/etl-tools)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/1f8ef3ea8e49dda40fdea78ef1ff37b9/monte-carlo.png "Product Avatar Image")
](https://www.g2.com/products/monte-carlo/reviews)

[
Monte Carlo
](https://www.g2.com/products/monte-carlo/reviews)

By [Monte Carlo](https://www.g2.com/sellers/monte-carlo)

[

4.3/5(536)

](https://www.g2.com/products/monte-carlo/reviews#reviews)

Product Description

Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.

Reviewers say compared to dbt, Monte Carlo is:

Slower to reach roi

Easier to do business with

More expensive

Categories in common with dbt:

[
Data Quality
](/categories/data-quality)[
DataOps Platforms
](/categories/dataops-platforms)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/b3390b4cc3d92e87d570895f7358c003/amazon-redshift.jpg "Product Avatar Image")
](https://www.g2.com/products/amazon-redshift/reviews)

[
Amazon Redshift
](https://www.g2.com/products/amazon-redshift/reviews)

By [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)

[

4.3/5(404)

](https://www.g2.com/products/amazon-redshift/reviews#reviews)

Product Description

Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.

Reviewers say compared to dbt, Amazon Redshift is:

Slower to reach roi

More expensive

Easier to set up

Categories in common with dbt:

[
Big Data Integration Platforms
](/categories/big-data-integration-platforms)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/71454b97c08bc9e02207560be5bcb93a/qlik-sense.png "Product Avatar Image")
](https://www.g2.com/products/qlik-sense/reviews)

[
Qlik Sense
](https://www.g2.com/products/qlik-sense/reviews)

By [Qlik](https://www.g2.com/sellers/qlik)

[

4.4/5(929)

](https://www.g2.com/products/qlik-sense/reviews#reviews)

Product Description

Qlik Sense is a revolutionary self-service data visualization and discovery application designed for individuals, groups and organizations.

Reviewers say compared to dbt, Qlik Sense is:

Slower to reach roi

More expensive

Categories in common with dbt:

[
Data Preparation
](/categories/data-preparation)

## dbt Alternatives FAQs

Generated using AI

### How does dbt compare to Databricks?

[dbt](https://www.g2.com/products/dbt/reviews) and [Databricks](https://www.g2.com/products/databricks/reviews) both offer strong data transformation and analytics capabilities, but they cater to different needs and scales. dbt holds a slight advantage in meeting requirements (9.2 vs 9.0) and usability (9.0 vs 8.9), while Databricks leads marginally in ease of setup (8.7 vs 8.6) and ease of doing business with (8.9 vs 8.6). Both score equally on support (8.8). Users praise dbt for its ease of use, automation, SQL-based transformations, and strong integration with data warehouses, with 34 mentions of ease of use and 21 mentions of features. However, dbt users note a steep learning curve, debugging challenges, and limited functionality for complex or large-scale projects. Databricks excels in features (192 mentions), integrations (141 mentions), scalability (111 mentions), and machine learning integration (106 mentions), making it suitable for large-scale data engineering, analytics, and AI workflows. Its collaborative notebooks and unified platform are highly valued. However, Databricks has a steeper learning curve (78 mentions), higher cost concerns (71 mentions), and complexity in setup and cost management. Both platforms have strong SQL support, but Databricks offers broader multi-language support and AI capabilities. Overall, dbt is favored for streamlined SQL-based transformations and developer-friendly workflows, while Databricks is preferred for unified, scalable data engineering and AI workloads with extensive collaboration features. Average ratings are 4.7/5 for dbt (207 reviews) and 4.6/5 for Databricks (801 reviews) according to G2.

### What are the best alternatives to dbt?

The best alternatives to dbt based on G2 user reviews are [Databricks](https://www.g2.com/products/databricks/reviews) (4.6/5 stars, 801 reviews), [Alteryx](https://www.g2.com/products/alteryx/reviews) (4.6/5 stars, 817 reviews), [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) (4.5/5 stars, 1227 reviews), and [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) (4.4/5 stars, 398 reviews). These platforms are highly rated for their ease of use, integration capabilities, and advanced features such as AI readiness, automation, and scalability. Databricks excels in unified data engineering and machine learning workflows with collaborative notebooks and Delta Lake for data reliability. Alteryx is praised for its intuitive drag-and-drop interface and automation that simplifies complex data workflows without extensive coding. Google Cloud BigQuery offers fast, serverless, and scalable SQL-based analytics with strong integration into Google Cloud’s AI and data ecosystem. SnapLogic stands out for its AI-led generative integration, low-code interface, and extensive pre-built connectors enabling rapid pipeline development and real-time data processing.

### What features do alternatives offer that dbt does not?

Alternatives to dbt offer features that dbt lacks, including native data visualization capabilities (Alteryx, Google Cloud BigQuery), and comprehensive extraction, loading, and reporting functionalities (SnapLogic).

### Which DataOps Platforms tools do reviewers recommend instead of dbt?

Reviewers recommend [Databricks](https://www.g2.com/products/databricks/reviews) for its unified platform that combines data engineering, analytics, and machine learning with strong collaboration features and scalable performance. [Alteryx](https://www.g2.com/products/alteryx/reviews) is favored for its user-friendly, low-code drag-and-drop interface that accelerates data preparation and automation, making it accessible to non-technical users. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) is recommended for its serverless architecture, fast SQL query performance on massive datasets, and seamless integration with Google Cloud services and AI tools. [SnapLogic](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) is endorsed for simplifying complex integrations with its AI-powered, low-code platform, extensive connector library, and support for both real-time and batch processing, enabling faster development and reliable enterprise-scale data integration.

### Why do users choose Databricks over dbt?

Users choose [Databricks](https://www.g2.com/products/databricks/reviews) over dbt primarily for its comprehensive, unified platform that integrates data engineering, analytics, and machine learning in one environment. Databricks supports large-scale data processing with Apache Spark, enabling efficient handling of terabytes to petabytes of data, which is critical for enterprises with massive datasets. The platform's collaborative notebooks allow simultaneous multi-language coding (Python, SQL, Scala), enhancing team productivity and reducing context switching. Databricks' built-in AI features like Genie and MLflow streamline model development, experiment tracking, and deployment, providing a significant advantage for AI/ML workflows. Users also appreciate the seamless integration with cloud services and governance tools like Unity Catalog for fine-grained access control and data lineage. Despite a steeper learning curve and higher cost, Databricks' scalability, extensive feature set (192 mentions), and ability to consolidate multiple tools into one platform drive user preference. Its autoscaling clusters, Delta Lake for reliable data storage, and strong support for machine learning pipelines make it a preferred choice for organizations seeking an all-in-one, scalable data and AI solution. Cost management and complexity are noted challenges, but the productivity gains and unified environment outweigh these concerns for many users.

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