I use Daasity every day to pull reports and answer questions critical to my role as a DTC analyst. It effectively solves the problem of aggregating data from different sources using built-in and ad-hoc integrations, providing all the data in a common data warehouse along with a BI tool. This allows me to pull reports, schedule data sends to others, and push data into platforms like Klaviyo and TikTok. I really like the flexibility in the questions it lets me answer, because I can pull data from custom sources, create custom data models, write custom code, and put everything in a manifest that will refresh the data daily and create dashboards, so stakeholders always have up-to-date insights. Additionally, I use it to push data into Meta, TikTok, and Klaviyo, which enhances our data integration capabilities. Review collected by and hosted on G2.com.

Daasity can have a steep learning curve, it might be difficult to understand for new users. Daasity's support documentation could be greatly improved. Review collected by and hosted on G2.com.

Daasity really excels at centralizing data from across our eCommerce and marketing ecosystem, allowing for deep analysis and detailed customer insights, including segmentation and lifecycle reporting. We’ve also gotten a lot of value from its flexibility and customization capabilities. As our reporting needs within the business have grown, we’ve been able to evolve our data models, explores, and reporting to match. Also, we’ve loved working with our Merchant Strategist, who is very dialed into our workflow and does a great job keeping projects moving forward. Review collected by and hosted on G2.com.

There are occasional data delays and minor bugs, and some datasets require some customization before they’re fully actionable for our use cases. While these aren’t dealbreakers, they do add some overhead and additional support to getting our data fully dialed in before we can derive insights. That said, issues are typically resolved quickly and support has been responsive. Review collected by and hosted on G2.com.

Daasity has been instrumental in consolidating our data across platforms — Shopify, NetSuite, Amazon, Northbeam, and our marketing channels — into a single source of truth. The ability to build custom dashboards tailored to each department means our teams can focus on the metrics that actually matter to them, without wading through irrelevant data. It's transformed how we approach reporting and marketing attribution. Review collected by and hosted on G2.com.

The one area I'd like to see improvement is support responsiveness. Given how central Daasity is to our reporting infrastructure, quicker response times when issues arise would go a long way Review collected by and hosted on G2.com.

I use Daasity for data collection and visualization, and it has helped automate manual work and connect data in one central place, making it easy to connect various data points. I like how open and flexible the Daasity team is, as they spent time learning my business needs and making suggestions. If there wasn't an existing way to get what I needed, they always found a creative way to guide my project, even if it meant more work for them. They were able to accommodate all of my various requests to see data differently, which fits my complex business with unique needs. Review collected by and hosted on G2.com.

I don't think this is necessarily Daasity's issue but at times the data is not accurate or complete or delivered on time so it delays our analysis. It's complicated to tap into dozens of platforms and expect everything to go smoothly. It did take us longer to implement vs our original plan but we ran into some challenges along the way. Review collected by and hosted on G2.com.

What I like most about Daasity is how it automates and standardizes data modeling across all of our core channels—Shopify, Amazon, and subscription data—so we’re not constantly reconciling metrics across platforms. The prebuilt data models for LTV, cohort analysis, and retention have been especially valuable, as they eliminate hours of manual SQL work and ensure everyone is working off the same definitions.

I regularly use the Snowflake integration and direct SQL access, which gives me the flexibility to go beyond dashboards and build more advanced analyses like churn deep dives, order segmentation, and AOV/LTV bridges. That balance between having reliable, out-of-the-box reporting and the ability to customize has significantly improved my workflow.

One unexpected benefit has been how much faster we can audit and validate data. Instead of spending time tracking down discrepancies between systems, Daasity provides a centralized source of truth, which makes it easier to identify issues like double-counted orders or missing attributes. Their support team has also been highly responsive and reactive—when issues come up or edge cases need clarification, they’re quick to investigate and provide clear solutions, which helps keep projects moving without delays.

Overall, it’s helped shift my time from data cleanup to actually generating insights and driving decisions. Review collected by and hosted on G2.com.

One area where Daasity could improve is the UI/UX, particularly when navigating between datasets and dashboards. While the platform is powerful, it can sometimes feel less intuitive when trying to locate specific tables or understand data lineage, which can slow down onboarding for new users. Improving discoverability and adding clearer documentation within the interface would make it easier to use day-to-day.

On the integrations side, although Daasity connects well with major platforms like Shopify and Amazon, handling edge cases or custom data (such as unique order attributes or marketplace nuances) can require additional manual work or support involvement. More flexibility or self-service options for customizing data pipelines would reduce dependency on external help.

Performance can also be inconsistent at times, especially when working with large datasets or complex queries in Snowflake. This can slow down analysis workflows and make iteration less efficient. Enhancements around query optimization or caching frequently used datasets could help improve speed.

From a pricing and ROI perspective, Daasity is a significant investment, particularly for teams that still need to allocate internal resources for custom analysis. While the value is there, more transparency around usage-based costs or clearer packaging of features could help teams better forecast and justify spend.

Support has been responsive and helpful, but there can still be a reliance on their team for resolving data discrepancies or implementing changes. Expanding self-serve tooling, documentation, and onboarding resources would empower teams to move faster independently.

Lastly, while Daasity provides strong foundational analytics, there is an opportunity to expand its AI and predictive capabilities. Features like automated anomaly detection, forecasting, or proactive insights would add another layer of value and help teams move from reactive analysis to more forward-looking decision-making. Review collected by and hosted on G2.com.

As long as your data sources are already included in their integrations, this will work great for you. They also have dashboard templates for not data experts to create visualizations. The "backend" is Looker based so you'll find some docs and help for your projects. Review collected by and hosted on G2.com.

As it's Looker-based, the learning curve is quite steep, and data modeling is coding-extensive. It's a great and robust tool for data governance and modeling, but for prototyping or super-interactive dashboards it's not the greatest one. Review collected by and hosted on G2.com.

With daasity, I'm able to get critical insights and answers to how our business is performing. Today, the D2C world is littered with analytics across multiple platforms. With daasity, we're able to combine these data points into a comprehensive view of our business. daasity contains helpful pre-formatted reports, yet I find the custom report suite creation to be the most valuable asset. Finally, the daasity agency provides helpful solutions when we have unique business questions and needs. Review collected by and hosted on G2.com.

There are a few platforms that are not yet automated (we market in a few unique channels), so at times there is manual entry to create an overall marketing performance. That said, Daasity has made progress in consistently adding more platforms into their automation. Finally, at times I wish a few reports would refresh in real time (they do overnight). Review collected by and hosted on G2.com.

With Daasity, you can implement a very sophisticated data infrastructure without having a big data team. For those with data teams, it arms them with a flexible tool they need to be most efficient. The data structure is built, tested and used by experts that have been merchants before. Review collected by and hosted on G2.com.

Not something I dislike, but a word of advice: The way it is intended to be leveraged, the enterprise version of Daasity is not canned reporting dashboards. You need someone data-forward to manage the platform to actualize its success across your business. If you don't have that, you should leverage their agency. Review collected by and hosted on G2.com.

Daasity's suite of integrations makes ingesting and consolidating new data sources straightforward and efficient. This makes it easy to build a powerful data warehouse to answer our most challenging business questions. In addition, the Daasity team is very helpful in assisting us when we need to customize our data sources for specific business rules and reporting needs. Our Daasity Team partners are also generally very helpful and our relationship is more akin to teammates instead of 3rd party vendors. Review collected by and hosted on G2.com.

The Daasity workflow, while very comprehensive, is also very time consuming. If we could optimize the workflow and reduce execution time then we could increase the cadence of updates. This would provide a number of positive benefits. Our data would be more timely, and in the event of a workflow execution issue, we could amend those problems more rapidly. Review collected by and hosted on G2.com.

Building your own reports without having to build a custom BI solution is incredible for smaller teams. Daasity is powerful and affordable and can unlock incredible customer and business insights for teams of all sizes when used correctly. Review collected by and hosted on G2.com.

There is a learning curve when using Daasity / Looker to build your own reports (which is where it's most powerful). I recommend spending the time to learn the tool before deciding it's "not useful." Review collected by and hosted on G2.com.