Top 10 dbt Alternatives & Competitors

Top 10 Alternatives to dbt Recently Reviewed By G2 Community

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Databricks Data Intelligence Platform
By Databricks Inc.
4.6/5
(658)
Product Description
Making big data simple
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Reviewers say compared to dbt, Databricks Data Intelligence Platform is:
Slower to reach roi
More expensive
Easier to do business with
Categories in common with dbt:
Big Data Analytics
ETL Tools
DataOps Platforms

Alteryx
By Alteryx
4.6/5
(671)
Product Description
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
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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
Big Data Integration Platforms
Data Preparation
ETL Tools

Google Cloud BigQuery
By Google
4.5/5
(1,208)
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.
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Reviewers say compared to dbt, Google Cloud BigQuery is:
Slower to reach roi
Easier to set up
Easier to admin
Categories in common with dbt:
Big Data Analytics
Big Data Integration Platforms
ETL Tools
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Snowflake
By Snowflake, Inc.
4.6/5
(678)
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.
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Reviewers say compared to dbt, Snowflake is:
Slower to reach roi
Easier to do business with
Easier to set up
Categories in common with dbt:
Big Data Analytics
Big Data Integration Platforms

Azure Data Factory
By Microsoft
4.6/5
(93)
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.
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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
ETL Tools

Monte Carlo
By Monte Carlo
4.3/5
(484)
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.
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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
DataOps Platforms

Matillion
By Matillion
4.4/5
(81)
Product Description
Matillion is an AMI-based ETL/ELT tool built specifically for platforms such as Amazon Redshift.
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Reviewers say compared to dbt, Matillion is:
Slower to reach roi
More usable
Categories in common with dbt:
Big Data Integration Platforms
ETL Tools

Amazon Redshift
By Amazon Web Services (AWS)
4.3/5
(397)
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.
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Reviewers say compared to dbt, Amazon Redshift is:
Slower to reach roi
More expensive
Easier to do business with
Categories in common with dbt:
Big Data Integration Platforms

Qlik Sense
By Qlik
4.4/5
(922)
Product Description
Qlik Sense is a revolutionary self-service data visualization and discovery application designed for individuals, groups and organizations.
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Reviewers say compared to dbt, Qlik Sense is:
Slower to reach roi
More expensive
Categories in common with dbt:
Data Preparation

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