Sold by: dbt LabsÂ
Deployed on AWS
dbt Platform is a hosted service that helps data analysts and engineers product-ionize dbt deployments. It comes equipped with turnkey support for scheduling jobs, CI/CD, serving documentation, monitoring & alerting, and an Integrated Developer Environment (IDE).
Overview
dbt is an open source data transformation tool that allows anyone comfortable with SQL to author their own data pipelines. dbt Platform provides a stable, professional grade environment for building and orchestrating dbt projects. It's the fastest and most reliable way to deploy dbt.
Find out if dbt Platform works with your data base or data warehouse here: https://docs.getdbt.com/docs/available-adaptersÂ
Sign up for a free, 14-day trial here: https://www.getdbt.com/signup/Â
Highlights
- Save time with an IDE built for dbt, including a SQL Runner capable of running Jinja; and guided process to enforce version control best practices, even for users new to git
- Set up custom schedules to run production jobs including incremental testing upon change or before deployment.
- dbt Platform provides professional grade support and security for the enterprise (SOC2, Type II compliance, SSO, role-based access)
Details
Sold by
Delivery method
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
dbt Platform | dbt Platform Plan: 10 Develop Licenses | $48,000.00 |
Dimension | Cost/unit |
|---|---|
Additional overages as defined in contract | $0.01 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Complete documentation is available at https://docs.getdbt.com/docs/dbt-cloud/cloud-overview/Â . support@getdbt.comÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
Top
10
In Data Analytics, ELT/ETL, Business Intelligence & Advanced Analytics
Top
100
In Analytic Platforms
Top
50
In Databases & Analytics Platforms, Data Analytics, Continuous Integration and Continuous Delivery
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Pipeline Transformation
Open source SQL-based data transformation tool for building and orchestrating data pipelines
Integrated Development Environment
SQL Runner with Jinja support and version control workflow guidance
Job Scheduling
Custom scheduling capabilities for production jobs with incremental testing and deployment options
Enterprise Security
SOC2 Type II compliance with single sign-on and role-based access control mechanisms
Deployment Orchestration
Professional-grade environment for stable and reliable dbt project deployment and management
AI-Powered Development Environment
Integrated code IDE with native AI capabilities for data engineering and analytics development
Pipeline Orchestration
State-aware scheduling system for dbt and Python data pipelines with advanced monitoring capabilities
Data Lineage Tracking
Column-level lineage context and impact analysis for comprehensive data transformation workflows
Multi-Platform Integration
Supports seamless integration with data ingestion and visualization tools like Fivetran, Tableau, and PowerBI
Performance Optimization
AI-driven agents for continuous warehouse cost monitoring and operational efficiency
Environment Management
Automated Snowflake infrastructure management using configuration and code deployment
Pipeline Orchestration
End-to-end data pipeline construction and tool integration for data ingestion, modeling, and testing
Continuous Integration/Deployment
Comprehensive CI/CD capabilities for data engineering workflows with automated testing and code management
Observability Framework
Unified metadata collection and management providing comprehensive operational insights across data products
Development Workflow
Integrated development environment supporting Snowflake workload development, testing, debugging, validation, and execution
Standard contract
Customer reviews
3
1 ratings
1 AWS reviews
|
1 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Ninad Magdum
Developer-friendly and easy to use, but doesn't have many optimization options
Reviewed on Aug 13, 2024
Review from a verified AWS customer
What is our primary use case?
I use the solution for transformation. When we perform the ELT process, we need to transform the data according to the business requirements. We can also use the tool for testing.
What is most valuable?
The product is developer-friendly. A person who understands SQL can develop the transformation. We do not have to learn a lot of things like we do for new tools. The tool has good testing and data quality features. Implementing Slowly Changing Dimensions through dbt has been easy. It is very easy for a beginner to use the product.
The tool provides multiple technical advantages if we use Snowflake. It is a good transformation tool because it is SQL-oriented. It has data lineage, data quality, and workflow scheduler.
What needs improvement?
The solution must add more Python-based implementations. Transformation tools require Python-based implementations. It would give developers more freedom to use SQL or Python. We can use Python, but it is not that user-friendly. The product doesn't have a lot of optimization options.
For how long have I used the solution?
I have been using the solution for almost three years.
What do I think about the stability of the solution?
There are no problems with the product’s stability.
What do I think about the scalability of the solution?
We have at least 25 to 50 users in our organization.
How was the initial setup?
The solution is deployed on the cloud. It can be deployed on AWS, Azure, or GCP. The initial setup is easy.
What's my experience with pricing, setup cost, and licensing?
The solution’s pricing is affordable.
What other advice do I have?
We also use stored procedures and Talend. They are not replaced by dbt completely. We use dbt only for the transformation process. My recommendations would depend on an organization’s requirements and problems. I will recommend the tool to others. The product is developer-friendly. However, it is still dependent on the data warehouse for big data and optimization.
It's just a SQL transformation tool. It doesn't have a lot of optimization options like Spark. It's a good tool for Snowflake. If it were only for Snowflake, I would have rated it an eight out of ten. However, there are other data platforms.
Overall, I rate the tool a six and a half out of ten.
Joham Alvarez-Montoya
Deal with data transformations with flexible learning curve and handle big data workloads
Reviewed on Jul 31, 2024
Review provided by PeerSpot
What is our primary use case?
We use the solution to deal with data transformations inside different organizations.
How has it helped my organization?
You need some knowledge. Dbt has a more flexible learning curve than other tools. You need some experience to handle big data workloads but with less experience, you can get started.
What is most valuable?
They help us orchestrate different transformations. With Dbt, you can automate the orchestration of transformations without thinking too much.
What needs improvement?
SQL statements that beyond DML, are not possible. Currently, they are not possible in Dbt. Having more features in SQL statements will support us.
Another issue is the terms of data ingestion because Dbt requires sources to be defined, and you need to handle data ingestion with other tools. So having a data injection tool integrated within dbt will be awesome.
For how long have I used the solution?
I have been using dbt for three years.
What do I think about the scalability of the solution?
It's very scalable because it's open source. You can spin up different EC2 or different compute instances to run VVT. We have 14 professionals using this solution. I rate it a nine out of ten.
How was the initial setup?
I store procedures calling within dbt statements. You can only use a selected statement in debt. If you want to use more advanced or more complicated SQL features, they are not supported right now by Dbt, so that can be a challenge.
What's my experience with pricing, setup cost, and licensing?
It is cheap because dbt is open source. If you compare the pay-per-service of Dbt with the open source option you can manage. We are managing the solution, when we were acquiring service from them. It was also cheap compared with the engineering cost that implies managing the the infrastructure.
What other advice do I have?
I have had the opportunity to teach one of the tools to level entry engineers because it's easy to learn and easy to maintain. It's pretty useful.
It depends on the architecture and the amount of company's data or the people that I'm going to advise. If you're starting a data engineering team and you don't have a lot of big data workflows, I would recommend Dbt. I recommend our tools for more advanced workflows but for starting, I recommend 100% Dbt.
Overall, I rate the solution a nine out of ten.