DataHero is a self-service Cloud BI tool, which uses a drag-and-drop interface to import and analyze data. DataHero integrates with Salesforce, HubSpot, Google Analytics, Dropbox, Strip, Excel and others. The company was founded in 2011 and is based in San Francisco.
$59
per month
Microsoft BI (MSBI)
Score 8.7 out of 10
N/A
Microsoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.
$14
per month per user
Pricing
DataHero
Microsoft BI (MSBI)
Editions & Modules
Starter
$59
per month
Premium
$99
per month
Team
$250
per month
Power BI Pro
$14
per month per user
Power BI Premium
$24
per month per user
Offerings
Pricing Offerings
DataHero
Microsoft BI (MSBI)
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
DataHero
Microsoft BI (MSBI)
Features
DataHero
Microsoft BI (MSBI)
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
DataHero
10.0
1 Ratings
20% above category average
Microsoft BI (MSBI)
9.0
53 Ratings
10% above category average
Customizable dashboards
10.01 Ratings
9.653 Ratings
Pixel Perfect reports
00 Ratings
8.546 Ratings
Report Formatting Templates
00 Ratings
9.051 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
DataHero
10.0
1 Ratings
22% above category average
Microsoft BI (MSBI)
8.6
53 Ratings
7% above category average
Drill-down analysis
10.01 Ratings
8.548 Ratings
Report sharing and collaboration
10.01 Ratings
9.053 Ratings
Formatting capabilities
00 Ratings
8.353 Ratings
Integration with R or other statistical packages
00 Ratings
8.442 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
DataHero
10.0
1 Ratings
20% above category average
Microsoft BI (MSBI)
8.6
52 Ratings
5% above category average
Publish to Web
10.01 Ratings
9.448 Ratings
Publish to PDF
10.01 Ratings
9.248 Ratings
Report Versioning
00 Ratings
7.544 Ratings
Report Delivery Scheduling
00 Ratings
8.547 Ratings
Delivery to Remote Servers
00 Ratings
8.626 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
DataHero ensures every business user in my organization is up to date on key performance metrics and insights through robust data analytics and a configurable data dashboard.
Microsoft BI has a lot of features and is a very powerful tool, especially if you have folks on your team that know how to utilize all of its capabilities. To truly unlock all that it can do, it does require people to have a deep understanding of its capabilities. That's where the software really shines. If you are looking for a simpler, more basic reporting tool, there are other programs available that do not require such a steep learning curve.
Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.
SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
I haven't interacted with DataHero support, but they must be knowledgeable and responsive regarding how they have documented the features on this tool.
MSBI natively has a site that allows you to vote on user enhancements and bug fixes. This allows the largest nagging issues to float to the top and the development team can prioritize accordingly. As mentioned earlier, the large community base of MSBI developers assist technical resources in handling technical questions.
I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
Both DataHero and Excel4apps are great business intelligence tools, but the latter don't offer room for growth due to unavailability of large and global enterprises BI tools.
We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.
As a SaaS provider we see being able to provide self-service BI to our client users as a competitive advantage. In fact the MSSQL enabled BI is a contributing factor to many winning RFPs we have done for prospective client organisations.
However MSSQL BI requires extensive knowledge and skills to design and develop data warehouses & data models as a foundation to support business analysts and users to interrogate data effectively and efficiently. Often times we find having strong in-house MSSQL expertise is a bless.