Grow, from Epicor since the March 2022 acquisition, is a business intelligence software that is designed to empower businesses to become data-driven and accelerate growth by aligning team objectives and inspiring strategic decisions.
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Sigma
Score 8.3 out of 10
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Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.
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Pricing
Epicor Grow
Sigma Computing
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Epicor Grow
Sigma
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Required
Optional
Additional Details
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Contact us for pricing.
More Pricing Information
Community Pulse
Epicor Grow
Sigma Computing
Features
Epicor Grow
Sigma Computing
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Epicor Grow
8.0
32 Ratings
2% below category average
Sigma Computing
7.9
163 Ratings
4% below category average
Customizable dashboards
9.032 Ratings
9.3161 Ratings
Report Formatting Templates
7.025 Ratings
7.8133 Ratings
Pixel Perfect reports
00 Ratings
6.5104 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Epicor Grow
7.7
31 Ratings
4% below category average
Sigma Computing
7.7
166 Ratings
4% below category average
Drill-down analysis
7.027 Ratings
8.4155 Ratings
Formatting capabilities
7.028 Ratings
7.2163 Ratings
Report sharing and collaboration
9.030 Ratings
8.0162 Ratings
Integration with R or other statistical packages
00 Ratings
7.35 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Epicor Grow
6.7
29 Ratings
20% below category average
Sigma Computing
7.9
156 Ratings
4% below category average
Publish to Web
7.025 Ratings
8.1103 Ratings
Publish to PDF
7.025 Ratings
7.9130 Ratings
Report Delivery Scheduling
6.025 Ratings
8.1132 Ratings
Report Versioning
00 Ratings
7.5120 Ratings
Delivery to Remote Servers
00 Ratings
7.768 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Grow.com is well suited if you have a lot of data or client data to manage. If you do not have tons of data, there are other options out there that are a bit more simple and easy to use and a better price.
We were able to set up client-facing embedded reports with ease and security. The interface is not difficult to learn, although we may not be aware of or lack the necessary expertise to utilize more advanced features that would likely benefit us.
I love the fact that you have a team of developers who can help me build metrics or fix metrics that I do not create properly. I had to learn SQL in order to really build the metrics that mattered, which was a lot of fun, but resulted in many broken metrics. The vendor's team was great in responding to me requests for help!
Really, really appreciate the fact that Grow has SQL formulas to reference when building metrics. Again, as a novice, this accelerated my ability to learn and not have to leave your site and resources and stay within the Grow web properties.
Great account managers who check in regularly and are willing to help out whenever needed.
Sigma Computing does not allow custom ordering of pivot fields in pivot tables easily
Sigma Computing lacks functionality for creating tables or sections that dynamically adjust to the browser window's height while maintaining a fixed height textbox at the bottom
Sigma Computing does not provide straightforward options for formatting totals in tables, such as renaming 'Total' to 'Average', 'Team Total', etc
Sigma Computing does not support searching by individual tab names within a workbook
Sigma has helped us a lot and has become an integral part of our daily workflow. It would be difficult to switch to another platform and have to rebuild the numerous metrics and performance reports that we have already established
This tool is definitely a little bit difficult to be able to figure out at first, but after some time of learning you can definitely pick it up. I do wish there were more resources online that would be able to help speed up the learning process
It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
The support team is very helpful and in every situation we have needed help in, they have been able to assist. So I have had a good experience with them
They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
Grow doesn't have as many advanced analytics features and other capabilities as some other 'dashboard' platforms on the market. Simply, if you want a tool for internal use only that has high-level analytics capabilities (regressions, completely custom visualizations, modeling), Grow probably isn't the platform for you. To put it another way, if you have a team of data engineers and scientists doing complex analysis, Grow might not make the most sense. However, if you understand the value of data/visualization/dashboards, but lack some of those skillsets in your company, Grow might be the perfect fit. Not only is it incredibly scalable and reasonably priced compared to other market solutions, but their transform capabilities really stand out. They have many native data transformations that mimic SQL coding of a dataset, without requiring any knowledge of SQL. They've converted these transformations to easy-to-use tools in the platform, which are perfect for the less-technical user.
With Looker, to be effective, a substantial amount of coding & modeling needs to happen in LookML. Being another language to learn, users have to context switch again from at a minimum either SQL or Python into LookML. The concept of being able to source control, code review, and deploy your models is a plus though.
Tableau is the gold standard for data visualization, no question. Power users will be able to create dazzling content that Sigma won't necessarily be able to easily match. However, since development usually happens via an extract, helping other users troubleshoot is an arduous process. Trying to re-do or un-do all the transformations and calculations that cause a certain number is very difficult.
With Sigma, all the queries happen directly against Snowflake and you can see the query logs. The data modeling happens right in a tabular, spreadsheet-like manner, so within only a few minutes, substantial transformations can happen, with visualizations just a few more clicks away.
Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.