--- title: Coalesce Reviews meta_title: 'Coalesce Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 39 reviews by the users' company size, role or industry to find out how Coalesce works for a business like yours. aggregate_rating: rating_value: 4.7 review_count: 39 scale: '5' date_modified: '2026-08-10' parent_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- # Coalesce Reviews **Vendor:** Coalesce **Category:** [ETL Tools](https://www.g2.com/categories/etl-tools) **Average Rating:** 4.7/5.0 **Total Reviews:** 39 ## About Coalesce What is Coalesce? Coalesce is the only data transformation platform built for scale, governance, and the AI-driven future. The platform provides data teams with an intuitive yet powerful interface to build, document, and manage data transformations 10x faster, all while maintaining standards and governance. With the addition of Coalesce Catalog, customers can now unify data transformation and metadata in a single solution—enabling better discovery, trust, and collaboration across the business. Coalesce simplifies data transformations with a visual, code-driven developer experience that helps data experts build manageable data pipelines at scale. By boosting data team productivity by 10x+, Coalesce helps SQL users of all experience levels deliver data projects as efficiently as possible, turn raw data into meaningful insights and avoid creating tech debt. How does Coalesce work? Coalesce automates in-database transformations, giving developers the flexibility to code as they like using an easy-to-learn graphical user interface (GUI) and codify repetitive work as needed. Coalesce enables data teams to extend and scale their projects using customizable templates for frequently-used transformations and by automatically generating standardized, best-practice SQL. Why Coalesce? Transform your data into discoverable, well-documented assets that everyone can use and understand. Coalesce speeds up development in a standardized way, making it simpler and faster to build complex pipelines of any size. Deliver ready-to-use data from day one: Coalesce brings speed, structure, and control to the transformation layer. With built-in structure and repeatable logic, Coalesce lets teams spend less time on low-level tasks and more time making data accessible and trustworthy. Build pipelines with precision: Coalesce delivers a powerful low-code experience that generates clean, performant SQL behind the scenes. With visual workflows, reusable logic, and version tracking, teams can transform data consistently and at scale without getting bogged down in manual work. AI-ready from the start: Coalesce Copilot uses AI to streamline documentation and boost data quality. With auto-generated lineage and smart metadata built in, your data is always prepared for analytics, machine learning, and beyond. Govern as you go: Don’t let governance be an afterthought. Coalesce tightly integrates data cataloging and transformation, giving every pipeline the context, documentation, and oversight it needs. That means consistent, compliant data across any data platform you’re using. What Data Platforms does Coalesce support? Coalesce supports Snowflake, Databricks, Microsoft Fabric, and Google BigQuery. How much does Coalesce cost? Coalesce customizes licensing to fit your data team's development needs, ensuring you only pay for what you need. For more information, request a custom quote or contact our sales team. How do I know if Coalesce is the right data transformation solution for my company? Coalesce is designed to be easy to learn and empower a wide spectrum of skill sets, ranging from data engineers and architects to data scientists and analysts. By pairing an intuitive GUI with code-driven capabilities, Coalesce helps data teams get ramped up quickly and enables seasoned data professionals to get up to speed on projects in half the time, and maximize their impact by working more productively How secure is Coalesce? Coalesce never stores your data at rest, and data in motion is always encrypted. After pipelines are deployed to production, all data refreshes are performed entirely within your data platform, meaning data never leaves the data warehouse. What data warehousing methodologies does Coalesce support? Coalesce supports all data warehousing methodologies, including Data Vault 2.0. How do I get Started with Coalesce? You can start using Coalesce today by creating a free 14-day trial, or by launching Coalesce from within your Snowflake account with Snowflake Partner Connect. ## Coalesce Pros & Cons **What users like:** - Users find Coalesce's **ease of use** exceptional, enabling quick adoption and effective utilization across various experience levels. (19 reviews) - Users appreciate the **automation features** of Coalesce, which greatly enhance efficiency in data transformations and scheduling. (8 reviews) - Users commend the **excellent customer support** from Coalesce, noting their attentiveness and responsiveness to user needs. (8 reviews) - Users find Coalesce to be **intuitive and user-friendly** , making it accessible for both technical and non-technical users. (8 reviews) - Users praise Coalesce for its **ease of use and seamless integration** with Snowflake, enhancing productivity and efficiency. (7 reviews) - Users value the **significant time savings** Coalesce provides, making complex data transformations quick and effortless. (7 reviews) - Users love Coalesce's **user-friendly interface** and seamless Snowflake integration, enhancing data modeling efficiency and performance. (7 reviews) - Flexibility (6 reviews) - Users value the **excellent community support** from Coalesce, which boosts productivity and ensures successful implementation. (5 reviews) - Continuous Improvement (5 reviews) **What users dislike:** - Users struggle with **UI design issues** like navigation, sorting capabilities, and missing features that hinder usability. (3 reviews) - Users report **integration issues** with Coalesce.io, struggling especially with limitations in connecting to other tools. (2 reviews) - Users note a **steep learning curve** with Coalesce due to limited online resources for specific features. (2 reviews) - Users find the **limitations in ease of SQL transformation** and credential management cumbersome and time-consuming in Coalesce. (2 reviews) - Users feel the **poor documentation** hinders their ability to effectively utilize Coalesce features and best practices. (2 reviews) - Users struggle with **poor navigation** in Coalesce, especially when handling large environments and complex pipelines. (2 reviews) - Users face **slow data loading** issues, especially in larger environments, hindering navigation and overall performance. (2 reviews) - Users experience **slow performance** in larger environments, particularly with loading and navigating the mapped column interface. (2 reviews) - Users experience **alert overload** , seeking better notifications to manage job failures without excessive emails. (1 reviews) - Users experience occasional **buggy interfaces** in Coalesce, which can hinder their overall usability and efficiency. (1 reviews) ## Coalesce Reviews ### 1. Coalesce Supercharges Data Warehousing with No‑Code Speed and Best Practices **Rating:** 5.0/5.0 stars **Reviewed by:** Nicholas M. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** January 25, 2026 **What do you like best about Coalesce?** 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. **What do you dislike about Coalesce?** 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 Coalesce 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. ### 2. Streamlined Data Warehousing **Rating:** 5.0/5.0 stars **Reviewed by:** Anthony P. | Head of Data & Analytics **Reviewed Date:** January 27, 2026 **What do you like best about Coalesce?** 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 Coalesce?** 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 Coalesce 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. ### 3. Effortless Data Transformation with Coalesce **Rating:** 4.0/5.0 stars **Reviewed by:** Anna P. | Consultant **Reviewed Date:** January 26, 2026 **What do you like best about Coalesce?** 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 Coalesce?** 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 Coalesce 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. ### 4. Product Offers Data Quality Analytics and Responsive Development for Changing Needs **Rating:** 4.5/5.0 stars **Reviewed by:** Bjorn B. | Data Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** October 03, 2025 **What do you like best about Coalesce?** Best thing about Synq is that we not only get our daily operations like alerting the right owners handled, but also more analytical insight in the data health, that can be used for reporting data quality insight to c-level. Besides this the team are constantly developing on the tooling and features, to make the product as helpfull and useful as possible. And if we have questions or bugs, the support is really easy to get a hold of and things are being addressed fast. **What do you dislike about Coalesce?** The only downside I can come up with, it that because they often develop new features, old features might be deprecated, so ways of working might need to be adjusted according to those. **What problems is Coalesce solving and how is that benefiting you?** Synq helps us notify the correct owners of data products as soon as the alert happens. So errors in the data models can be fixed as soon as possible. Besides this the analytical insight gives us the possibility to look a bit deeper into a domain and see how the development of the data quality have been within this domain, to highlight points of interest. ### 5. Bulk Editing and Modular Pipelines Make Building Workflows a Breeze **Rating:** 5.0/5.0 stars **Reviewed by:** Ian K. | Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** January 27, 2026 **What do you like best about Coalesce?** I like the bulk editing abilities the most. A close second is the modular feel when building pipelines. **What do you dislike about Coalesce?** 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 Coalesce 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. ### 6. Effortless Deployment, Exceptional UI **Rating:** 5.0/5.0 stars **Reviewed by:** Sam S. | Finance Intern, Mid-Market (51-1000 emp.) **Reviewed Date:** February 20, 2026 **What do you like best about Coalesce?** I like that the UI of Coalesce is great and it's very easy to use. It's also very easy to explain to nontechnical users, which is a big plus. The initial setup is always incredibly easy. **What do you dislike about Coalesce?** I think there could be some documentation improvements. I've been saying for years that they should have some sort of role management tool and a little more documentation on how to create custom nodes and what best practices look like. **What problems is Coalesce solving and how is that benefiting you?** Coalesce solves transformation issues from Snowflake to the reporting layer and is used across numerous projects for our clients' transformation needs. ### 7. Great tool for data quality monitoring and lineage across tools **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Leisure, Travel & Tourism | Mid-Market (51-1000 emp.) **Reviewed Date:** October 06, 2025 **What do you like best about Coalesce?** Synq is an excellent tool for monitoring data quality issues in dbt, such as failed tests, and for examining data lineage. It enables you to track data flows from their sources, through dbt models and Snowflake tables, all the way to Looker explores, tiles, and dashboards. This is an essential aid when it comes to maintaining models. The team has also been very responsive and of great support in helping us make the most of the tool **What do you dislike about Coalesce?** The website's user interface can be somewhat difficult to navigate. Additionally, the process for triaging issues and marking them as investigating or resolved feels a bit clunky. **What problems is Coalesce solving and how is that benefiting you?** SYNQ is solving 2 core problems: it provides a centralized visual hub for failing tests and monitors, helping us identify and solve data quality issues as they arise, and it provides comprehensive lineage of data across tools. In particular, lineage in Looker is quite useful as it easily allows to check where a model is used across all dashboards. It really helps maintenance and checking usage of models. ### 8. A great tool with lots of potential **Rating:** 4.5/5.0 stars **Reviewed by:** Jules J. | Lead Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 07, 2024 **What do you like best about Coalesce?** Synq is integrated with all our data stack (github, dbt, Snowflake and Looker) and in an almost seamless way. It help us to maximise our efficienty and minimise the development/maintenance cost by adding an overlay on top of dbt systems (assets, runs, alerts, tags, ...). For me, the most important features are: - incident management, centralised our dbt alerts, group them in a smart way and add on top of it a notion of "incident" with downstrams impacts - data catalogue, with column lineage and nice filters As a "new competitors" in the market, I also think they want to stay close to their customers, and listen to their feedbacks, which is very nice. **What do you dislike about Coalesce?** There are some minor "UX" bugs and inconsistency. Probably because they're more focused on developing their core functionalities rather than the surface layer, but I have no doubt that it will only get better with time (and the overall UX experience is already satisfying). **What problems is Coalesce solving and how is that benefiting you?** Provide a "control center" for your data systems, to easily identify, resolve and communicate any problems that may arise. This helps us to be more efficient, and to implement more robust processes. ### 9. Coalesce is a fantastic transformational tool! **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Hospitality | Mid-Market (51-1000 emp.) **Reviewed Date:** July 15, 2025 **What do you like best about Coalesce?** Coalesce's intuituve user interface, highly engaged developers making active improvements to the platform, and overall focus on helping us get data transformed in a complex way allowing us to get data in a form we need it to add value to our business, both internally and externally. We use this tool day daily and at times work with Coalesce support to help us build out the platform to our exact needs. Coalesce helped us solve some specific use cases that would not have been doable with other tools on the market. It's also highly configurable so for power users who want to build it's a wonderful solution. **What do you dislike about Coalesce?** The platform can be slower with larger environments. The mapped column interface can take a long time to load and be very slow to navigate for larger pipelines and ETLs. I'd like to see the GUI become faster and snappier. **What problems is Coalesce solving and how is that benefiting you?** Coalesce solves the problem of getting data transformed in our data warehosue. We can build our ETLs with ease in Coalesce in a way that would not be possible with other tools on the market. ### 10. Coalesce, the modern Pipeline Development tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** September 15, 2025 **What do you like best about Coalesce?** I like that Coalesce is Git forward and intuitive by design. The out of the box nodes account for many common Data Engineering processes AND if you need something that isn't covered, it's simple to script jinja to make the node do what you need it to do. The team supported us every step of the way and the speed at which we were able to implement pipelines in the product was days. **What do you dislike about Coalesce?** As a coder, it was tough to adjust to the UI at first, but once I realized the power of the Jinja templates and how I could still code in the backend to make my DAGs even more powerful - it was no longer a downside. **What problems is Coalesce solving and how is that benefiting you?** Git Integration lacking in our legacy ETL tool. Cloud-data warehousing first code - leveraging the goodness of Snowflake Cortex AI capabilities in our ETL pipelines. ### 11. Gamechanger for pipeline development **Rating:** 5.0/5.0 stars **Reviewed by:** David K. | Managing Director, Small-Business (50 or fewer emp.) **Reviewed Date:** September 28, 2025 **What do you like best about Coalesce?** Fastest development tool I have used Auto documentation After a pipeline is developed it just keeps going Native integration of snowflake tools Nodes are just getting started Largely plug and play ie very easy to get going **What do you dislike about Coalesce?** I didn't have Coalesce 4 or 5 years ago ;-) **What problems is Coalesce solving and how is that benefiting you?** This platform enables visual development while providing full access to the generated code. It also seamlessly incorporates a wide range of best practices into our workflow. From our experience, we are now able to scale much more significantly while maintaining excellent control over our pipelines. ### 12. Innovative and Agile Product Accelerating Data Activation **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** September 29, 2025 **What do you like best about Coalesce?** Coalesce is an easy to use platform that stays lock step with Snowflake so I'm always able to leverage the latest functionality of Snowflake within my production ready pipelines. There is an active package library that allows me to extend the base functionality of the platform to address more custom use cases and initiatives. Coalesce lowers the barrier of entry for new users accelerating how quickly engineers can ensure data products are ready for consumption. They have excellent customer service and proven results that show they are listening to their users. It has been a pivotal decision for our Snowflake journey that has become foundational in our success. **What do you dislike about Coalesce?** Documentation is greatly enhanced through the use of Coalesce catalog but the editor lacks some level of customization found in other platforms. Package updates are frequent, but the effort to make mass adjustments through a large DAG remains cumbersome. **What problems is Coalesce solving and how is that benefiting you?** Coalesce accelerates how quickly we are moving and transforming data within Snowflake while Catalog is tightly integrated and ensures our stewards are front and center to keep consumers informed of data products. The catalog AI chat bot has been excellent in adding additional transparency to data processes for power users, auditing, and exploration. ### 13. Has been a game changer for our team. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Human Resources | Enterprise (> 1000 emp.) **Reviewed Date:** September 24, 2025 **What do you like best about Coalesce?** We have a broad level of experience on our team, from new-grad to decades of experience. Both are able to use Coalesce in the way they see fit, and Coalesce meets them where they're at....whether it's through the UI or bringing your own code. The support team has been fantastic, and they're constantly adding features to make things more efficient for their end users. Coalesce is also very competitive price-wise with other tools in the same class. **What do you dislike about Coalesce?** The online community documentation is still growing, but rapidly catching up. **What problems is Coalesce solving and how is that benefiting you?** Coalesce helps us keep everything well organized, builds great lineage and allows for unit testing on your most sensitive data sets. ### 14. SYNQ allows an easy overview of data quality across the whole data platform at any moment **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Accounting | Mid-Market (51-1000 emp.) **Reviewed Date:** October 06, 2025 **What do you like best about Coalesce?** Great tool for managing your data platform, ensuring it’s easy to spot when and where things have gone wrong when problems arise. It's integration with dbt means that we can view the data reliability across our whole DAG. The customer support is brilliant and they are always willing to help troubleshoot when needed. **What do you dislike about Coalesce?** The UI is not completely intuitive and takes some getting used to. I would say their AI feature is still in the early development phase. **What problems is Coalesce solving and how is that benefiting you?** Synq allows us to monitor data quality and reliability across our whole DAG. ### 15. Coalesce has been a data transformation savior! **Rating:** 5.0/5.0 stars **Reviewed by:** Joel S. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 06, 2025 **What do you like best about Coalesce?** The UI is very user friendly. Coalesce has pushed many updates since we have onboarded and the quality of life improvement's have been greatly welcomed! The flexibility of Coalesce has helped us move over 100GB of data models from our BI tool into Snowflake in just 6 months with only two data engineers. **What do you dislike about Coalesce?** To date I have nothing I dislike about Coalesce. My only complaint or request would be a built in job monitor. In order to be notified if a job fails via email etc. **What problems is Coalesce solving and how is that benefiting you?** We have only 2 data engineers. We were tasked to move over 100GB worth of data models over to snowflake. Coalesce allowed us to hit our deadline of 6 months. This would have never been possible without Coalesce. We had to move this data while also handling daily business needs. Coalesce allowed us to be flexible and handle these daily needs while also building out over 100GB worth of data models in a short 6 month window. This was a massive win for us as a company as we only had 2 individuals working to get this over the finish line. Without Coalesce this simply would not have been possible to hit our target deadline. ### 16. Time savings and useability at the core of Coalesce **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consumer Goods | Enterprise (> 1000 emp.) **Reviewed Date:** May 12, 2025 **What do you like best about Coalesce?** Coalesce feels very intuitive when building. I love that it follows a very straightforward flow, and makes things fast and easy to build. I love the column awareness and the ability to maintain data pipelines with ease. **What do you dislike about Coalesce?** I think some improvements can be made around the graph ease to navigate and use. It would be helpful in some cases to have sorting, or organizing capabilities when working with large, complex pipelines. I probably don't leverage the table view as much as I should, but having the graph be a little easier to filter and organize/group would be a quality of life improvement. **What problems is Coalesce solving and how is that benefiting you?** It allows us to maintain complex data pipelines with ease. It also allows us to implement change control, standard ways of working, and testing into our data pipelines. It saves us time by taking normally complex, time consuming flows and simplifying the development process. We love that it has a ton of flexibility, while still keeping things simple enough to train and onboard a data engineer in a fraction of the time other tools require. ### 17. The best data transformation tool to scale **Rating:** 5.0/5.0 stars **Reviewed by:** Justin G. | Sr Solutions Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2025 **What do you like best about Coalesce?** Coalesce IMO is the best transformation tool in the market. Before selecting them, I did extensive research of the other tools in the space. Some feature that stood out were bulk edit, custom node types, data lineage, rapid deployment and so many more. The people at this company are also wonderful to work with. Integration with snowflake can be achieved within minutes. The ease of use, yet ability to build complex logic makes this stand out. **What do you dislike about Coalesce?** They are working on an orchestration tool and their data lineage could use a few minor enhancements (which I think are on the roadmap) **What problems is Coalesce solving and how is that benefiting you?** On Security, Coalesce and Snowflake authenticate with Snowflake oAuth, which is the highest option available. Coalesce is snowflake native so it supports all features when they are released. ### 18. Enabling centralised data quality analytics and alerting with synq **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Leisure, Travel & Tourism | Mid-Market (51-1000 emp.) **Reviewed Date:** October 08, 2025 **What do you like best about Coalesce?** Synq is an excellent tool for viewing and managing data quality metrics, and it also provides daily alerting. With Synq, we can easily monitor and troubleshoot failures in our sqlmesh models and audits. The Synq team has always been attentive, responding quickly to any issues and providing prompt support. **What do you dislike about Coalesce?** One drawback of syqn is the visibility on if all audits are being pulled through **What problems is Coalesce solving and how is that benefiting you?** Synq enables us to consistently meet our data quality metrics and monitor them over time. Additionally, it serves as our alerting tool, allowing us to quickly identify and address any issues that arise. ### 19. A centralised hub for data observability within our organisation **Rating:** 5.0/5.0 stars **Reviewed by:** Rory O. | Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 17, 2025 **What do you like best about Coalesce?** Synq has significantly streamlined how our team manages and collaborates on data issues across the organisation. It has become an essential part of our workflow by enabling us to quickly respond to, collaborate on, and resolve data issues before they escalate. In particular, its super easy to integrate granular level dbt test alerts and custom Synq monitors into Slack. The tool also empowers both technical and business stakeholders by providing full visibility into data lineage, including column level-lineage, from ingestion to dashboard. The tool has easily saved us hours of time a week by reducing the volume of ad-hoc queries we recieve and improving the efficeny in which we respond to data incidents. The team at Synq has been very responsive in developing new features and continually enhancing the tool. Their commitment to supporting us and ensuring we get the most out of the platform has been invaluable. **What do you dislike about Coalesce?** While Synq has evolved significantly over the last few years, fully leveraging its improvements requires data teams to invest time in engaging with these updates, which may involve adjustments to existing workflows. To maximize the tool's potential, it's crucial for data teams to secure full buy-in from key stakeholders across the business. **What problems is Coalesce solving and how is that benefiting you?** Synq's provides us with a centralised platform for data observatility, that can be used by both technical and business stakeholders. It has significantly streamlined how our team manages and colloborates on data issues - saving hours of time weekly by allowing us to respond to errors as soon test failures occur and colloborate on a fix in a centralised platform. The tool also empowers both technical and business stakeholders by providing full visibility into data lineage, from ingestion to dashboard - reducing the number of ad-hoc queries the data team recieves and freeing up our time to work on other projects. ### 20. Supercharging ETL for my Small Team **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Sports | Enterprise (> 1000 emp.) **Reviewed Date:** March 06, 2025 **What do you like best about Coalesce?** Coalesce's easy to grasp UI and column based lineage along with its snowflake centric approach are its biggest strengths. It allows us to focus on data modeling and less on the syntax. We were able to easily implement our first few models in record time. It easily integrates with our preferred vendor Snowflake which really enhances performance. Finally the standout customer support and onboarding process has been crucial for our continued success. **What do you dislike about Coalesce?** There are certain features in the UI that are missing from an ease of use perspective, like an undo button. You have to rely on git commits to ensure you don't lose work. **What problems is Coalesce solving and how is that benefiting you?** Our first main project using coalesce allowed us to shift a manual process that required hours of intensive manual spreadsheets and automates the data flow to our ERP in under 5 minutes. It enables us to get data to our end users 4x more frequently and enables a better understanding of our companies financials. ### 21. A great tool to keep track of the health of your data **Rating:** 5.0/5.0 stars **Reviewed by:** Michele S. | Analytics engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 13, 2024 **What do you like best about Coalesce?** For such a young product, Synq packs a punch and offers multiple ways to monitor the health of your data products (including a brilliant column level lineage ability and simple to set up slack notifications). We use it on an almost daily basis to monitor our analytics pipelines. **What do you dislike about Coalesce?** Nothing major, it is a tool that does its job and even has some customisation capabilities via developer tools. **What problems is Coalesce solving and how is that benefiting you?** Monitor the health of the models in our analytics platform after nightly and ad-hoc runs, ### 22. Data engineering force multiplier **Rating:** 5.0/5.0 stars **Reviewed by:** Juan D. | Manager, Data Stragegy, Mid-Market (51-1000 emp.) **Reviewed Date:** May 14, 2025 **What do you like best about Coalesce?** How easy it is to build data assets. The robust documentation that is automatically prepared for you as you build. The ability to deploy and host scheduled jobs. **What do you dislike about Coalesce?** I would like a pause button for my jobs when I'm developing just so they don't run **What problems is Coalesce solving and how is that benefiting you?** It helps us built all necessary data transformations as well as deploying those procedures in all of our environments that exist within our data warehouse ### 23. Great product and service **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Construction | Enterprise (> 1000 emp.) **Reviewed Date:** October 03, 2025 **What do you like best about Coalesce?** Good product with service minded employees **What do you dislike about Coalesce?** Nothing to dislike, a few features of the product could use refinement. It was easy to implement and use. **What problems is Coalesce solving and how is that benefiting you?** We had a few issues with Scout to triage issues. ### 24. Coalesce is the best invention since coffee! **Rating:** 5.0/5.0 stars **Reviewed by:** Lee D. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** February 05, 2025 **What do you like best about Coalesce?** Coalesce is the Cadillac of data transformation platforms. The ease of use and ease of implementation in Coalesce cannot be compared. Within minutes, I can create data transformations of type 2 dimensions, facts, staging tables, and even include Snowflake Cortex AI nodes. Coalesce creates automatic documentation using its metadata aware architecture - huge time savings. Coalesce automatically generates DDL and DML statements for all dimensions, facts, staging tables - huge time savings compared to writing these manually. You can also schedule jobs in Coalesce using the built-in scheduler. **What do you dislike about Coalesce?** I wish Coalesce.io would be compatible with SQL Server or Azure SQL. **What problems is Coalesce solving and how is that benefiting you?** Coalesce.io is solving rapid data transformation pipeline development; providing huge ROI and savings for my customers. ### 25. Really helps speed up the development of pipelines! **Rating:** 5.0/5.0 stars **Reviewed by:** Jesse F. | Business Intelligence Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** March 07, 2025 **What do you like best about Coalesce?** Combines the best of both worlds with an intuitive UI driven workflow, and the flexibility of a code driven approach. Support is top notch. **What do you dislike about Coalesce?** Honestly, I think the only downside that I can think of is that Coalesce.io isn't as mature as some other options, which means that there may not be an option to integrate with other tooling. **What problems is Coalesce solving and how is that benefiting you?** Coalesce.io is at the heart of our data platform, and really helps our small data team manage our warehouse. It allows us to do everything faster, and pushes our standards for quality higher. ### 26. Easy Transformation in Snowflake **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Construction | Enterprise (> 1000 emp.) **Reviewed Date:** May 14, 2025 **What do you like best about Coalesce?** What I like best about Coalesce is how easy it makes complex data work—things that used to take us days now take minutes. It’s helped our small team move faster, stay organized, and deliver cleaner data without burning out. They also have great customer support. **What do you dislike about Coalesce?** The main challenge with Coalesce is that it can take some time to fully understand how to use all its features effectively, especially for newer team members. **What problems is Coalesce solving and how is that benefiting you?** Coalesce is helping us solve the problem of managing and transforming large volumes of messy, siloed data from systems like our ERP and HR platforms. By centralizing transformations, automating documentation, and making it easy to trace changes, it’s dramatically reduced the time we spend on manual work and made our team more productive—it’s a huge win for scaling our data operations. ### 27. Coalesce is an easy-to-learn and user-friendly tool for data transformations. **Rating:** 4.0/5.0 stars **Reviewed by:** Wannes C. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 14, 2025 **What do you like best about Coalesce?** The way your data becomes visible through all the views and stages and the ease in which you can add your data. **What do you dislike about Coalesce?** The deployment plan doesn't always work. Especially when changing a data type, Coalesce doesn't alway give me the correct deployment plan. **What problems is Coalesce solving and how is that benefiting you?** Coalesce helps us transform data and prepare it for use in our visualization tools ### 28. Helps to keep data healthy, and eases collaboration between teams **Rating:** 5.0/5.0 stars **Reviewed by:** Ilmari A. | Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 16, 2025 **What do you like best about Coalesce?** * Made for dbt / templated data projects * Created by developers who understand data work * Attentive team & good support * Model and column lineage * Flexible Slack alerting to model owners or stakeholders **What do you dislike about Coalesce?** With many new features the UI has become complex, and it's not always easy to find detailed configuration options. However, the team is very quick to help out! **What problems is Coalesce solving and how is that benefiting you?** Synq notifies dbt model owners or other stakeholders across the company: Data Analytics, Data Engineering, Subscriptions etc. Lineage between dbt and Looker was crucial for us when we refactored our Looker project. Model and column lineage benefits everybody and especially the Data Analytics team. ### 29. Great tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** May 09, 2025 **What do you like best about Coalesce?** Once setup it makes work so much easier and they offer great support. Allmost everything possible in Snowflake is possible with Coalesce. Most important feature for us is the Column Lineage. **What do you dislike about Coalesce?** Because of all the development and growth, sometimes there are still some bugs in the system and the git model/deploy calculations can be slow, but this is on their roadmap. **What problems is Coalesce solving and how is that benefiting you?** Single source of truth, data definitions, increasing our development speed and providing an environment that gives us an overview of our data. ### 30. Rediscovering Data Quality with Synq **Rating:** 5.0/5.0 stars **Reviewed by:** Aleksandr B. | Senior Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 19, 2024 **What do you like best about Coalesce?** Synq has made a huge difference for us, really stepping up our data quality game and helping us get more out of dbt. It fit right into our existing pipelines without any issues. The support team has been fantastic—always ready to help and genuinely excited about data quality, which is something we care a lot about too. **What do you dislike about Coalesce?** Honestly, not much at all. It's rare to find a tool that fits so well into existing workflows and enhances them in such a significant way. So let it be the most complimentary review out there - it's deserved anyway. **What problems is Coalesce solving and how is that benefiting you?** Synq helps us keep our data clean and reliable. We used to struggle with data and transformations tests. Now, with Synq's validation and monitoring tools, we catch issues early, saving us time and effort. It's also made it easier to use dbt features, fitting right into our workflow and boosting our confidence in the data we use for decision-making. ### 31. Elevating Data Observability, Reliability, and Proactive Alerting **Rating:** 5.0/5.0 stars **Reviewed by:** Pedro M. | Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2024 **What do you like best about Coalesce?** Using Synq sped up my onboarding process, saving dozens of hours in understanding the dependencies of the most important models in my company. Furthermore, making significant changes isn't daunting anymore—I can easily check how my planned changes will impact the entire data pipeline, from transformations in dbt models to how the data is reported in our BI tool. The Slack integration for error alerts is also crucial in maintaining high levels of data quality. With it, we can proactively address issues, often before stakeholders even notice them. It's always a pleasure to interact with the Synq team, not only to discuss the product but also other data-related topics. It's evident they are committed to building a great product and staying at the forefront of data trends. **What do you dislike about Coalesce?** Exploring the lineage of models with many dependencies can become overwhelming. **What problems is Coalesce solving and how is that benefiting you?** Synq solves the challenges of understanding complex data dependencies, managing data pipeline changes, and maintaining high data quality. It saved me significant time during onboarding and removed the risk of making updates by providing clear visibility into data models. The proactive alerting system helps us fix issues quickly, enhancing data reliability and trust. ### 32. An upgrade to our Data Warehouse monitoring **Rating:** 5.0/5.0 stars **Reviewed by:** Hector O. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** August 14, 2024 **What do you like best about Coalesce?** Synq offers a centralised place to monitor the data quality of your data sources, who owns them and provides a very nice alerting system when one of the set-up tests fails. My favourite feature is their "Data Products" where you can define a set of related assets that affect a single product (in our case, ML models). It was super easy to set it up with Snowflake and DBT as our stack and the technical support from Synq has been amazing. The frequency at which they release features has also been impressive. **What do you dislike about Coalesce?** It gets a bit getting used to Synq's "vocabulary" so-to-speak which makes finding a given feature in their website a bit complex sometimes. However, I trust that they'll improve the UX in the future making it easier to use. **What problems is Coalesce solving and how is that benefiting you?** Monitoring ongoing issues with our data sources, notifying the relevant owners as well as having an overview of whether products are healthy or not. ### 33. Optimising the transformation in ELT/ETL **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** February 09, 2025 **What do you like best about Coalesce?** Coalesce provides an interactive GUI for designing, building, deploying, and managing the organisation's transformation rules into our data flows. **What do you dislike about Coalesce?** While helpful, the git integration can sometimes be a bit of a challenge to manage (e.g., when wanting to overide any changes in my brnach with that from the master, it won't allow me) **What problems is Coalesce solving and how is that benefiting you?** We run a lean team, and that team supports the whole business with their data requests. Coalesce enables us to provide these data services with a team of 2 data engineers/scientists, enabling the business to derive the insights they need for decision making. ### 34. Very useful tool for data monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** Thor H. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2024 **What do you like best about Coalesce?** - The data lineage feature is my personal favourite and something that I use very frequently since it simplifies a data structure that would otherwise take a very long time to dig through. It was exactly what we needed to speed up our workflows. - The customer support is really great. We stay in touch very frequently and have very produtive chats about how to get the most out of the tool and what is currently being worked on. So we feel very heard. **What do you dislike about Coalesce?** Some features are still being worked on, so there is sometimes some waiting time. But it's usually quite quick and they always stay in touch regarding the process. **What problems is Coalesce solving and how is that benefiting you?** Synq enables me to monitor my data with much more ease than before. This means that I have a much better overview over the status, quality and structure of my data. ### 35. Efficient Data Monitoring and Great Customer Support **Rating:** 4.5/5.0 stars **Reviewed by:** Tinashe C. | Mid-Market (51-1000 emp.) **Reviewed Date:** September 17, 2024 **What do you like best about Coalesce?** One of the standout features for me is the alerting system for our data tests and monitors. The alerts are not only reliable but also seamlessly integrated with Slack, ensuring that we stay on top of any issues in real-time. Another big plus is their customer support. They are incredibly responsive, not just reacting to feedback but also proactively suggesting and implementing features that are genuinely helpful for me as a data analyst. Additionally, the data lineage functionality is a a great function for me, especially with the ability to drill down to the column level. This makes tracking data changes and understanding dependencies far more efficient. **What do you dislike about Coalesce?** Would be nice to have a link to the Synq documentation in the daily use interface **What problems is Coalesce solving and how is that benefiting you?** Synq provides an alerting system for data tests and monitors, helping you stay on top of data quality issues in real-time. Allows us to trace data changes and transformations more efficiently ### 36. Efficient Data Lineage Tracking and Monitoring with Synq **Rating:** 4.5/5.0 stars **Reviewed by:** Asmita-Arun M. | Confirmed Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** July 01, 2024 **What do you like best about Coalesce?** I really like Synq for tracking data lineage and backtracking. It helps me see how models are used downstream, which is great for understanding our data workflows. I've been using Synq for our migration project, and it's been a big help. The tool makes it easy to check how our DBT models are performing in terms of performance and volume. We, as a data team, use Synq for our regular analytic engineering needs and data monitoring. The UI is very neat and clean, making it easy to see the data lineage. Synq is also super easy to use, which is a big plus. The monitoring features are good too. I can set up alerts in Slack to find anomalies, which helps us respond to issues quickly. Integrating the tool with Slack for monitoring and alerting was easy and hassle-free. Synq customer support is really good. We have Slack support with their team, where we can get help with any queries or difficulties we face, and everything gets resolved quickly. Overall, Synq has been a great tool for us. It’s easy to use, has powerful features, and helps us keep our data in check. **What do you dislike about Coalesce?** Nothing as such I can think of. Synq is useful in terms of our regular analytics needs. **What problems is Coalesce solving and how is that benefiting you?** Synq effectively solves the challenges of tracking data lineage and monitoring our analytics workflows. It enables us to understand how models are used downstream, which is crucial for maintaining data accuracy and optimizing performance. This capability has been instrumental during our migration project, ensuring smooth transitions and efficient management of DBT models in terms of performance and volume. Overall, Synq's features have significantly improved our analytic engineering processes, enhancing efficiency and ensuring data integrity across our operations. ### 37. Very intuitive data reliability tool **Rating:** 4.5/5.0 stars **Reviewed by:** Krina V. | Product Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Coalesce?** Synq is one of the most intuitive data reliability tool that I have come across. It is very ease to use and integrates seemlesly with our tech stack. Any business utlises data from different sources and most of the time if the source data is changed, it had knock impact on the Data platform downstream. With the usage of synq we were able to address data consistency challenges. We are in a position to identify issues proactively, With the help from Synq we are able to send alerts to the relevant data owners. We use Synq on a daily basis to keep track of the health of our important data assets. Our experience of liasing with technical colleagues from Synq have been really very smooth. They look out for feedback and act on it promptly. **What do you dislike about Coalesce?** There are no particular downsides to using Synq. It definitely makes our lives easier; however there is always a room for improvement i.e. taking on the reigns of predictive analytics by making predictions based on historical logs. **What problems is Coalesce solving and how is that benefiting you?** Synq allows us to keep track of the health of all the data assets; hence we are able to monitor the dbt models. ### 38. Useful Data Quality Tool with great Potential **Rating:** 4.5/5.0 stars **Reviewed by:** Qihang H. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** July 01, 2024 **What do you like best about Coalesce?** Synq is a great data quality tool that integrates seamlessly with our entire data stack, including Snowflake, dbt, and Looker. It has a user-friendly interface and a robust ownership and alert system. Synq has proven its value multiple times by notifying us of data quality issues promptly. The column lineage feature is particularly helpful, as it allows us to trace data origins and transformations, ensuring transparency and accountability across our data pipelines. Overall, Synq has significantly improved our ability to maintain high data quality and reliability, making it an indispensable tool in our daily operations. The support team is responsive and continuously works on enhancing the platform based on user feedback. **What do you dislike about Coalesce?** There's nothing particular that I dislike. It's still a young product, and I see great potential for it to become an even better tool. **What problems is Coalesce solving and how is that benefiting you?** Ownership, abnomality detection, data lineage, and alert. ### 39. Daily Staple for any Data Analyst **Rating:** 5.0/5.0 stars **Reviewed by:** Héber B. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 12, 2024 **What do you like best about Coalesce?** I like how simple, intuitive and helpful Synq is. It really helps me understand better how my code is built, by providing a clear lineage from model-to-model, including column tracking. On top of that, being able to follow downstream production to other tools (such as Looker) is a massive plus. I use this tool every single day, and haven't have any issues so far. I also feel like the Synq team is easy to reach, and helps us in any implementation. **What do you dislike about Coalesce?** Sometimes it has some minor UX hiccups while navigating between models, but it isn't bothering my experience. **What problems is Coalesce solving and how is that benefiting you?** Data Lineage and how any pull request might affect downstream production ### 40. More than you'd expect **Rating:** 5.0/5.0 stars **Reviewed by:** Yordan I. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2024 **What do you like best about Coalesce?** I've been using Synq for the last year, and it's just outstanding. Synq seamlessly integrates with your entire data stack, allowing you to find issues at each level, from source to visualisation. One aspect of Synq that truly stands out is its extensive range of features. From dbt tests to automated quality monitors to cross-project column-level lineage, Synq offers a comprehensive solution for all your data management requirements. But what I like the most is the people of Synq. They actively reach out, looking for feedback. But they don't just react immediately. More often than not, Synq's team comes up with a new game-changing feature that solves a problem you thought couldn't be solved. **What do you dislike about Coalesce?** Can't think of any major negative The team has a ton of ground-breaking ideas, but not enough resource to implement everything. **What problems is Coalesce solving and how is that benefiting you?** Synq allows us to see the entire end-to-end picture accross multiple interconnected projects. Without Synq we'd need to guess what is the root cause for a broken Looker report. ### 41. Convenient monitoring platform backed by a very responsive team **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Games | Mid-Market (51-1000 emp.) **Reviewed Date:** July 08, 2024 **What do you like best about Coalesce?** We have been using Synq for more than a year now, primarily to track issues related to our dbt models and tables. Our organization has been growing rapidly, and so has the number of our dbt models. This growth has made it crucial for us (a) to monitor past issues and receive alerts about ongoing problems, and (b) to establish a seamless process for resolving issues while involving both business and technical teams in understanding their potential impact on various pipelines. Synq has helped us achieve these two goals through its monitoring interface, providing us with insights into different kinds of problems that can occur over time (e.g., sudden loss or increase of data volume, critical errors, etc.). Synq's support for dbt was a key reason we chose it initially. Later, we discovered additional functionalities that have added value to our processes, such as a seamless ticketing system and customizable integrations with Slack. Moreover, our team is very satisfied with the attention to detail and responsiveness of the Synq team to each of our custom requests and feedback. **What do you dislike about Coalesce?** We did not spot anything so far to be considered as something we would dislike in particular. **What problems is Coalesce solving and how is that benefiting you?** As mentionned above, our organization has experienced rapid growth, leading to an increase in the number of dbt models we manage. This expansion has highlighted the necessity of addressing key business challenges, such as: (a) Monitoring past issues and receiving timely alerts about ongoing problems: Synq effectively handles this by ensuring we are always aware of potential disruptions, allowing us to act swiftly and maintain operational continuity. (b) Establishing a seamless issue resolution process: Synq facilitates smooth collaboration between business and technical teams, helping us understand the potential impact on various pipelines. This collaborative approach not only enhances our problem-solving efficiency but also ensures that both teams are aligned in mitigating risks and maintaining data integrity. By leveraging Synq, our teams benefit from improved issue monitoring and resolution, fostering a proactive and integrated approach to managing our growing data infrastructure. ### 42. Useful tool for data monitoring, lineage and quality **Rating:** 4.5/5.0 stars **Reviewed by:** Giulia B. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 27, 2024 **What do you like best about Coalesce?** I particularly find Synq useful becaus of its lineage feature, which provides a clear and comprehensive view of all dependencies within our company’s most complex data models. Also, the intuitive interface makes navigation seamless, allowing me to quickly find what I need. Additionally, the customer support is exceptional! **What do you dislike about Coalesce?** Nothing comes to mind, perhaps the UX can be improved over time. **What problems is Coalesce solving and how is that benefiting you?** It helps my team tracking data lineage and usage of all our downstream workflows. It helps my team in ensuring the data quality required standards. ### 43. Efficient data lineage and freshness monitoring with Synq: a must-have tool for Data Analysts **Rating:** 5.0/5.0 stars **Reviewed by:** Francesco M. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 13, 2024 **What do you like best about Coalesce?** As a data analyst at Typeform, I frequently use Synq to monitor data lineage from dbt models and track data freshness. I find Synq to be an exceptionally intuitive tool for visualizing both upstream and downstream dependencies, with the added benefit of customizable filtering options. The tool’s dashboard makes it easy to spot failed tests, allowing me to quickly address any issues with the model owners. I highly recommend Synq for its efficiency and user-friendly design! **What do you dislike about Coalesce?** Nothing major to highlight at the moment. **What problems is Coalesce solving and how is that benefiting you?** Mainly checking dependencies between dbt models, and data freshness. ### 44. We were able to automate our daily data quality checks with Synq **Rating:** 5.0/5.0 stars **Reviewed by:** Anita O. | Analytics Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2024 **What do you like best about Coalesce?** The ability to connect with our data warehouse, dbt and our BI reporting tool pretty easily. The products feature and column-level lineage is pretty cool so you can see both upstream and any downstream dependencies. We no longer need to manually check our data pipelines, we get notifications of any anomalies or issues so we can proactively address them which has reduced support tickets. It has been useful to have visibility across our data stack. **What do you dislike about Coalesce?** I cannot think of any downsides. The Synq team has been responsive to our needs and are open to feedback. When we have an issue, they are resolved quickly. **What problems is Coalesce solving and how is that benefiting you?** Visibility into data pipelines and catching errors and anomalies in the data, particularly from source data. ### 45. Thanks for turning hours of treasure hunts into 5 minute checks **Rating:** 5.0/5.0 stars **Reviewed by:** Sven V. | Product Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** August 12, 2024 **What do you like best about Coalesce?** Pinpointing an industry wide problem and turning it into a product that saves us up to hours. Development over the years has been fast and always on point. Ready to use and implement without too much of a hassle and the features keep on increasing over time. **What do you dislike about Coalesce?** Due to close contact to the teams and short feedback loops, small discomforts were always solved incredibly fast. **What problems is Coalesce solving and how is that benefiting you?** - Observability of data issues - Clear view of data lineage accros products ### 46. Effective Data Lineage and Integration with Synq **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Games | Mid-Market (51-1000 emp.) **Reviewed Date:** July 01, 2024 **What do you like best about Coalesce?** - Very helpful lineage, especially valuable for tracking column-wise impacts between models - Intuitive usage, making it easy to navigate and utilise effectively - Good integration of downstream data assets and ease of use with Slack integration, enhancing overall data management efficiency, real-time notifications and team collaboration - Great customer care with responsive and helpful support **What do you dislike about Coalesce?** - Occasionally slow, potentially due to the large number of data assets being managed - Not all information from DBT docs is captured (e.g. sort keys for Redshift Tables), which can limit the comprehensiveness of the tool's insights **What problems is Coalesce solving and how is that benefiting you?** - Helps address data reliability topics by allowing us to proactively identify and resolve issues - The tool enables us to send alerts to relevant data owners, ensuring timely resolution of data issues ### 47. Exceptional Product and Support **Rating:** 5.0/5.0 stars **Reviewed by:** Frederik H. | Head Of Data Platform, Enterprise (> 1000 emp.) **Reviewed Date:** July 01, 2024 **What do you like best about Coalesce?** We have now been using Synq for the last couple of months and are really liking the product so far. It has provided a lot of value to our existing data stack, and the ongoing development is amazing. I could mention many features, such as anomaly detection, dbt testing, data products, ownership, etc., but the most valued aspect of Synq is their communication with customers. We have provided feedback on various aspects, such as business alerting, and within a short amount of time, they have delivered on it. **What do you dislike about Coalesce?** The only thing I can think of as is that they are a smaller team, but that also gives a great opportunity to actively impact the development. **What problems is Coalesce solving and how is that benefiting you?** Data Observability, Business Alerting, Error Detection and Incident management. ### 48. Very great experience with Synq **Rating:** 4.5/5.0 stars **Reviewed by:** Yanghong L. | analytics engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 14, 2024 **What do you like best about Coalesce?** - The collorabtion with their team, they are very quick to adapt to new situations and always quick on response to our questions - The UI is very easy to navigate **What do you dislike about Coalesce?** we haven't been able to ultilize their data catalog funtion, mainly because we have different use cases, but they are very open to help to develop it to fit us. **What problems is Coalesce solving and how is that benefiting you?** - Monitor our core data products and the slack alert really keep us on top of things - Assist us to debug when things go wrong and see the root cause with their very nice table&column lineage ### 49. A reliable tool to maintain data quality **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Accounting | Mid-Market (51-1000 emp.) **Reviewed Date:** August 12, 2024 **What do you like best about Coalesce?** Synq is very helpful for us in maintaining the data quality & managing the stability. Synq alerts us the unexpected errors and is seamlessly integrated with other tools to notify us what the issue is, what is the latest state of the issue etc., **What do you dislike about Coalesce?** Can't think-off any. It is very easy & reliable. **What problems is Coalesce solving and how is that benefiting you?** We use Synq to help us identify the quality issues in our data modelling mainly by notifying us of the errors in primary keys. By this way, we get to address the errors and hence stay on top of our data modelling. ### 50. End-to-End Observability for Most of Our Tools **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Hardware | Mid-Market (51-1000 emp.) **Reviewed Date:** August 07, 2024 **What do you like best about Coalesce?** Integrates nicely with most tools we use: Slack, dbt, BigQuery, Looker etc. End to end observability makes it much easier to keep track of what data we use and where we use it. Column level lineage is a game changer for observability through our layers. Makes us able to better decentralise responsibility of both creating and following up alerts as well as notifying consumers of failing data. Nice that they listen to feedback from their users. **What do you dislike about Coalesce?** The product is still a little young with some bugs and it still changes a lot in the UI. But I appreciate that it’s fast moving and bugs are disappearing! **What problems is Coalesce solving and how is that benefiting you?** Helping us check if data is used downstream, if data is either stale or wrong, and it helps us better communicate errors to maintainers of data and stakeholders - [View Coalesce pricing details and edition comparison](https://www.g2.com/products/coalesce-coalesce/reviews?qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+11%3A02%3A11+-0500&secure%5Bsession_id%5D=cdf25730-98ed-4ac0-89ba-58596d9d7060&secure%5Btoken%5D=d04afe94eca5f0abed4bf4438714482040750adb3c6d40faf166087c3e64e8f2&format=llm_user) ## Coalesce Integrations - [Databricks](https://www.g2.com/products/databricks/reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - [Google BigQuery Data Transfer Service](https://www.g2.com/products/google-bigquery-data-transfer-service/reviews) - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews) - [Orchestra](https://www.g2.com/products/orchestra-orchestra/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) ## Coalesce Features **Data Source Access** - Breadth of Data Sources - Ease of Data Connectivity - API Connectivity **Management** - Reporting - Auditing **Automation** - Workflow Automation - Multi-platform support - Data Management - Data Simplicity **Functionality** - Real-time Analytics - Data quality monitoring - Automation - End to End visiblity **Data Interaction** - Profiling and Classification - Metadata Management - Data Modeling - Data Joining - Data Blending - Data Quality and Cleansing - Data Sharing - Data Governance **Functionality** - Transformation - Automation - Scalability - Non-Relational Transformations - Data Extraction **Functionality** - Documentation management - Platform support - Template functionality **Management** - Anomaly identification - Single pane view - Real-time alerts - Data lineage - Integrations **Additional Functionality** - Data Mapping - Monitoring - Charting - Integration Management - Reporting/Analytics - Ad hoc Analysis - Access Controls/Permissions - API - Match & Merge - Real-Time Monitoring - Metadata Management - Pipeline Management - Job Scheduling - Dashboard Creation - Data Storage Management - Multiple Data Sources - Data Import/Export - Generative AI - Data Quality Control - Data Connectors - Customizable Reports - Single Sign On - Version Control - Visual Analytics - Accounting Integration - Real-Time Data - eCommerce Management - AI Copilot - CRM - Data Visualization - SSL Security - Search/Filter - Real-Time Analytics - Data Capture and Transfer - Collaboration Tools - Performance Management - Data Synchronization - Drag & Drop - Data Replication - Activity Dashboard - Database Support - Workflow Management - Alerts/Notifications - Predictive Analytics - Data Migration - Third-Party Integrations - Reporting & Statistics - Data Analysis Tools **Data Exporting** - Breadth of Integrations - Ease of Integrations - Data Workflows **Administration** - Error Alerts - Workflow management **Generative AI** - AI Text Generation **Generative AI** - Generative AI **Agentic AI - Data Warehouse Automation** - Proactive Assistance **Agentic AI - Data Observability** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Natural Language Interaction - Proactive Assistance **Additional Functionality** - Data Analysis Tools - AI/Machine Learning - Data Extraction - Reporting/Analytics - AI Copilot - Data Mapping - ETL - Big Data Analytics - Data Quality Control **Additional Functionality** - Parallel Processing - Ad hoc Analysis - Multiple Data Sources - API - In-Database Processing - Monitoring - Real-Time Reporting - Data Synchronization - Real-Time Monitoring - Data Connectors - Performance Metrics - Ad hoc Reporting - Alerts/Notifications - Access Controls/Permissions - Drag & Drop - Data Visualization - Data Import/Export - Match & Merge - Data Transformation - Secure Data Storage - Data Extraction - AI Copilot - Customizable Reports - Activity Dashboard - Data Migration - In-Memory Processing - Data Mapping ## Top Coalesce Alternatives - [Domo](https://www.g2.com/products/domo/reviews) - 4.3/5.0 (1,055 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (860 reviews) - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) - 4.5/5.0 (562 reviews)