Sold by: Coalesce
The only data transformation solution built for scale.
4.7
Overview
Coalesce is a best-in-class Data Transformation solution for Snowflake.
With Coalesce, you build directed acyclic graphs (DAG) made up of nodes that run on a schedule and produce tested, up-to-date datasets ready for your business users.
How is Coalesce different?
Coalesce has been architected from the ground up to scale better in enterprise environments with thousands of tables and where managing data at scale becomes challenging.
The Coalesce product is built around the concept of "metadata" - column and table-level information that describes the structure and transformations inside your data warehouse. This metadata makes both designing and deploying data warehouses easier, especially at the enterprise scale.
Designing with metadata allows your team to define your data warehouse with column-level understanding, standardization with data patterns (templates) and enables granular column-level data modeling.
This metadata is also used to track past, current and desired deployment states of your data warehouse over time. This gives you unparalleled visibility and control of your change management workflows, enabling your team to build and review a plan before deploying changes to the data warehouse.
For custom pricing, EULA, or a private contract, please contact sales@coalesce.io , for a private offer.
Highlights
- Data transformations at full throttle
- Build manageable data pipelines of any size
- Get Hours of Development Work Done In Minutes
Details
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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 |
|---|---|---|
Coalesce Platform | For full platform access | $100,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
additional_usage | Additional Usage | $0.01 |
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
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) .
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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.
Resources
Vendor resources
Support
Vendor support
Email support services are available from Monday to Friday.
https://help.coalesce.io/hc/en-us ; support@coalesce.io
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
By Coalesce
By DataOps.live
Top
100
In Databases
Top
50
In Databases & Analytics Platforms, Data Analytics, Continuous Integration and Continuous Delivery
Top
25
In Data Warehouses, ELT/ETL
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
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Positive reviews
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AI generated from product descriptions
Directed Acyclic Graph Architecture
Builds directed acyclic graphs (DAG) composed of nodes that execute on schedules to produce tested and current datasets.
Metadata-Driven Data Modeling
Utilizes metadata at column and table levels to enable standardization, data patterns (templates), and granular column-level data modeling.
Change Management and Deployment Tracking
Tracks past, current, and desired deployment states of data warehouse over time to provide visibility and control of change management workflows with plan review capabilities before deployment.
Enterprise-Scale Data Transformation
Architected to handle enterprise environments with thousands of tables and manage data transformation operations at scale.
Snowflake Integration
Designed as a native data transformation solution for Snowflake data warehouse platform.
Environment Automation
Manages Snowflake infrastructure as configuration and code with deployment and lifecycle management capabilities for data applications and products.
Pipeline Orchestration
Builds end-to-end data pipelines and orchestrates data ingestion, modeling, and testing tools with integrated pipeline construction capabilities.
Continuous Integration/Continuous Deployment
Provides automated CI/CD workflows for building, testing, and deploying data products and applications on Snowflake.
Unified Observability
Collects, unifies, manages, and shares operational metadata to provide comprehensive visibility across data products and infrastructure.
Data Product Lifecycle Management
Delivers full lifecycle management for data products including development, testing, debugging, validation, and execution of Snowflake workloads.
Agentic Data Engineering Automation
Maia functions as virtual data engineers that autonomously design, build, optimize, and monitor data pipelines, automating ELT pipeline creation, debugging, and maintenance across Amazon Redshift, Snowflake, and Databricks.
Native AWS Service Integration
Platform integrates natively with Amazon Redshift, Amazon S3, AWS Lambda, AWS Fargate, Amazon EC2, AWS Glue, Amazon RDS, Amazon Athena, Amazon SageMaker, and AWS Bedrock for high-performance ELT execution.
Natural Language Pipeline Generation
Generates and optimizes SQL, Python, and orchestration logic from natural language prompts, enabling automated pipeline creation without manual coding.
AI-Ready Data Preparation
Automates RAG-ready data preparation, entity extraction, and sentiment analysis for generative AI workflows, with integration to AWS Bedrock for LLM processing.
Enterprise Security and Governance
Enforces runtime access controls through AWS IAM and Unity Catalog, maintains audit logging, lineage tracking, version control, and supports masking policies for secure data distribution across hybrid and multi-cloud environments.
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
No security profile
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Standard contract
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Customer reviews
Anthony P.
Streamlined Data Warehousing
Reviewed on Jan 27, 2026
Review provided by G2
What do you like best about the product?
I appreciate Coalesce for simplifying the development process by modularizing code into reusable standard and custom node types, which enforces consistency and reduces development time. I like the combination of simplicity and flexibility, as I can quickly start building nodes and prototyping, while also having the flexibility of custom node types for complex use cases. The standard prebuilt node types are easy to use and applicable to a majority of data warehousing use cases without needing much configuration. I find it pretty easy to set up Coalesce - all I need is a simple connection to Snowflake and Git, and I can start working quickly. The documentation makes these configurations easy to follow.
What do you dislike about the product?
In the future it would be great to have additional options and capabilities to work side by side with data modeling tools. For example, being able to use the data modeling tool to create the logical and physical data model, and allowing Coalesce to easily work within the data model that is deployed to Snowflake from the modeling tool rather than having to recreate the facts, dims, etc. directly in Coalesce.
What problems is the product solving and how is that benefiting you?
Coalesce simplifies my development process by modularizing code into reusable node types, ensuring consistency and reducing development time.
Ian K.
Bulk Editing and Modular Pipelines Make Building Workflows a Breeze
Reviewed on Jan 27, 2026
Review provided by G2
What do you like best about the product?
I like the bulk editing abilities the most. A close second is the modular feel when building pipelines.
What do you dislike about the product?
Lack of online courses for features. There are webinars and quickstart guides but sometimes i just need a specific deep dive on node types when I'm building it from scratch for the first time.
What problems is the product solving and how is that benefiting you?
It solves generating code when building out entire data warehouses. I have so many features to pick from for just about any use case I have.
Anna P.
Effortless Data Transformation with Coalesce
Reviewed on Jan 26, 2026
Review provided by G2
What do you like best about the product?
I like Coalesce for its ease of use and organization, especially how it allows different workspaces for different developers. I also appreciate that all processes are stored in a GitHub repository. It's easy to use and maintain, and deploying and managing jobs and logs is straightforward. The integration feels like working on GitHub from my local machine, but with a nice UI that makes creating and maintaining pipelines and nodes much easier. The initial setup was easy and straightforward, even for those with less coding experience. Additionally, Coalesce provides more benefits and is more user-friendly compared to dbt, which we used before.
What do you dislike about the product?
I would like an easy way to transform current SQL code that contains CTEs into one or many Coalesce nodes without the hard work or amount of time that it requires going into the original code and seeing how you can break that code to fit it in Coalesce nodes. Managing/storing environment and workspace credentials could definitely be improved. There have been many times that I have to go to Snowflake and copy and paste manually different sections instead of maybe having a drop-down menu based on my Snowflake access. Also, many times I have to input my credentials again because they got wiped.
What problems is the product solving and how is that benefiting you?
I use Coalesce to transform data from Snowflake and solve data transformation problems, making it easy to create any tables/views needed and generate reports.
Nicholas M.
Coalesce Supercharges Data Warehousing with No‑Code Speed and Best Practices
Reviewed on Jan 25, 2026
Review provided by G2
What do you like best about the product?
I've worked with most major data transformation tools over the last 15 years, and Coalesce is hands-down my favorite among them all. We're able to deliver faster data integration, quality, and warehouse projects internally and for our clients because of Coalesce's no-code / low-code interface. What previously would take several data engineers now can be delivered with 1 or 2, and in less time.
Coalesce writes complex transformations for you and with proper best practices, allowing you to stand up an integrated data warehouse in significantly less time. The lineage feature makes it easy to troubleshoot errors and trace the root cause. The ability to propagate columns changes to downstream transformations with a few clicks saves hours of time per task. Using the software development best practices makes deployment fast and reliable. Onboarding new team members is very efficient - if they know SQL and understand data pipelines, then Coalesce is the most effective tool to quickly bring new team members up-to-speed.
It's also flexible enough to easily migrate from other platforms because you can easily drop your code into their AI engine and it will create the transformations for you. Whether it's a new project or moving away from an existing technology, you can implement fast and efficiently.
On top of the tools amazing features, the sales and support team members are the most responsive, knowledgeable, and helpful compared to any other software vendor I've ever worked with.
Lastly, they continue to add new features based on real feedback from customers to ensure we're always getting the best value for our money. Coalesce is easily one of my favorite products.
Coalesce writes complex transformations for you and with proper best practices, allowing you to stand up an integrated data warehouse in significantly less time. The lineage feature makes it easy to troubleshoot errors and trace the root cause. The ability to propagate columns changes to downstream transformations with a few clicks saves hours of time per task. Using the software development best practices makes deployment fast and reliable. Onboarding new team members is very efficient - if they know SQL and understand data pipelines, then Coalesce is the most effective tool to quickly bring new team members up-to-speed.
It's also flexible enough to easily migrate from other platforms because you can easily drop your code into their AI engine and it will create the transformations for you. Whether it's a new project or moving away from an existing technology, you can implement fast and efficiently.
On top of the tools amazing features, the sales and support team members are the most responsive, knowledgeable, and helpful compared to any other software vendor I've ever worked with.
Lastly, they continue to add new features based on real feedback from customers to ensure we're always getting the best value for our money. Coalesce is easily one of my favorite products.
What do you dislike about the product?
Can't think of any. If we ever have a question or feature request, they're always very helpful in pointing us in the right direction or transparant on when it will be released.
What problems is the product solving and how is that benefiting you?
Coalesce is the backbone for data transformations, data quality, and governance within our Snowflake environment in support of our data products. It also is our go-to tool for deploying strategic data warehouses and data products for our clients in the biotechnology and pharmaceutical industries. It allows us to deliver projects faster, which means keeping overall costs down while also delivering high-quality data to help run our business and our clients' businesses more effectively. At a time when budgets are constantly being scrutinized, Coalesce is one of the tools that continues to stand out because teams are able to articulate and show the value it brings to them, ultimately helping teams cut costs and deliver better quality data to their end users in less time.
reviewer2784381
Low-code pipelines have accelerated team collaboration and simplified CI/CD development
Reviewed on Dec 05, 2025
Review from a verified AWS customer
What is our primary use case?
Coalesce.io is used as a main platform for developing ETL pipelines.
What is most valuable?
Coalesce.io allows you to create ETL pipelines in a low-code approach. It natively supports templates for integrating with different systems and is built to deeply integrate with Snowflake .
Coalesce.io is a very complete platform because it also integrates all the tools needed for building CI/CD pipelines and an AI agent to support developers in their activities.
Coalesce.io has impacted our organization positively by providing a low-code approach. It supports different sources, so we don't need to write custom code. It is also a collaborative tool, making it suitable for teams with a large number of developers.
What needs improvement?
At the moment, the only improvement I see is deeper support for AI agents to support the developer's job.
Coalesce.io is a very complete platform, but it could be an even better product if it supported more developer jobs, speeding up development.
For how long have I used the solution?
Coalesce.io has been used for one year and a half.
What do I think about the stability of the solution?
Coalesce.io is stable.
What do I think about the scalability of the solution?
As far as I have seen, Coalesce.io is very scalable. In case of excessive load, we can easily handle it by adding more resources.
How are customer service and support?
When Coalesce.io needs to be updated or maintained, we need to declare the maintenance window. We cannot use the tool during maintenance, but we try to keep maintenance time low to avoid any issues.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
We did not use any solution before Coalesce.io. We used a more raw approach for development and deploying on Snowflake . That's why we decided to standardize, improve, and be more efficient with development by introducing Coalesce.io.
How was the initial setup?
The setup of Coalesce.io was not complex, and the licensing is very clear.
What about the implementation team?
We were provided with official documentation and also had some introductory courses and lessons by support.
What was our ROI?
Unfortunately, I don't have any numbers to share, but Coalesce.io had a very good impact on development and was very appreciated by the development team.
What's my experience with pricing, setup cost, and licensing?
Coalesce.io was purchased through the AWS marketplace.
Which other solutions did I evaluate?
Different tools were evaluated as far as I know. I did not participate directly in the selection, and I cannot say what other tools were compared.
What other advice do I have?
Developers can share within Coalesce.io.
I would rate Coalesce.io as nine out of ten.
We do not track any metrics at the moment.
Coalesce.io is deployed in a private cloud.
When Coalesce.io needs to be updated or maintained, we must declare the maintenance window. We cannot use the tool during maintenance, but we try to keep maintenance time low to prevent any issues.
I don't have much information about security features.
Coalesce.io offers capabilities that we managed to use, but we also use external tools.
The Coalesce.io integration was planned to be smooth because before it, we used another tool, so we had to migrate what we had on the previous tool to Coalesce.io and then switch off when everything was done.
I suggest Coalesce.io to everyone who wants a collaborative environment deeply integrated with Snowflake that supports developers in their job.