Databox is business intelligence software built for teams that need fast, actionable insights.
$199
per month
Sigma
Score 8.3 out of 10
N/A
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.
N/A
Pricing
Databox
Sigma Computing
Editions & Modules
Professional
$199
per month
Growth
$499
per month
Premium
$999
per month
No answers on this topic
Offerings
Pricing Offerings
Databox
Sigma
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
20% discount for annual pricing.
Contact us for pricing.
More Pricing Information
Community Pulse
Databox
Sigma Computing
Features
Databox
Sigma Computing
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Databox
9.3
8 Ratings
13% above category average
Sigma Computing
7.9
163 Ratings
3% below category average
Pixel Perfect reports
10.05 Ratings
6.8104 Ratings
Customizable dashboards
8.98 Ratings
9.2161 Ratings
Report Formatting Templates
8.98 Ratings
7.8133 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Databox
8.6
8 Ratings
7% above category average
Sigma Computing
7.8
166 Ratings
3% below category average
Drill-down analysis
8.06 Ratings
8.4155 Ratings
Formatting capabilities
8.98 Ratings
7.3163 Ratings
Integration with R or other statistical packages
7.93 Ratings
7.35 Ratings
Report sharing and collaboration
9.48 Ratings
8.1162 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Databox
8.3
8 Ratings
1% above category average
Sigma Computing
8.0
156 Ratings
2% below category average
Publish to Web
8.96 Ratings
8.3103 Ratings
Publish to PDF
8.97 Ratings
7.9130 Ratings
Report Versioning
7.74 Ratings
7.7120 Ratings
Report Delivery Scheduling
8.98 Ratings
8.3132 Ratings
Delivery to Remote Servers
7.13 Ratings
7.668 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
I believe Databox can be an asset for any company. We are a small company, but I can see the value for large companies too. Databox is a great fit for departments or organizations that need to put their data into a readable form without needing a ton of reports. Databox allows you to save time and put together a nice report without having to do too much extra work. Once it is set up, it basically runs on its own at the frequency you set. I personally receive a daily report and have it sent to the respective people on the day of our meeting so we can quickly review it.
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.
Some types of data can only be reported on for 1-2 months back. Unless I'm misunderstanding the function of the software this seems really weird. I can't figure out how to report on Activities more than 2 months ago
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
Databox is an intuitive, well-designed platform that can be used by non-technical marketers. It is easy to learn, and while set up takes time, usability is high and the team has enjoyed creating custom dashboards and clients have also given us great feedback regarding its usability and value. While other BI tools are much more complex to navigate, Databox is a breeze.
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.
I have really enjoyed using Databox and have seen the value of it in many ways. They also continue to improve the functions of it and grow their integrations and templates. I look forward to continuing to use Databox in the future, potentially even finding ways to incorporate it into other departments to help them with reporting as well.
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.
Databox is unique in its ability to report from multiple data sources. Google Analytics is the standard when it comes to web metrics, but it's just one of the tools that integrates with Databox. Tableau is fantastic for data visualizations and reporting, but it's much more expensive than Databox, so it's not ideal for everyone. Tableau is also superior with customization
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.