Clear Analytics is a business intelligence solution that enables non technical end users to perform analytics by leveraging existing knowledge of Excel coupled with a built in query builder. Some key features include: Dynamic Data Refresh, Data Share and In-Excel Collaboration.
$29
Per Seat per Month
Microsoft BI (MSBI)
Score 8.8 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
Clear Analytics
Microsoft BI (MSBI)
Editions & Modules
Personal
$29
Per Seat per Month
Team
$165
upto 10 Seat per Month
Department
$265
upto 25 Seat per month
Organization
$565
Upto 100 per seat per month
Power BI Pro
$14
per month per user
Power BI Premium
$24
per month per user
Offerings
Pricing Offerings
Clear Analytics
Microsoft BI (MSBI)
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
$800 Initial OnBoarding
No setup fee
Additional Details
Certain Enterprise level features can be made available to Small Business edition at additional cost. Such services include Scheduler and OLAP connectivity.
Custom adapters can also be created to connect to SaaS services.
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More Pricing Information
Community Pulse
Clear Analytics
Microsoft BI (MSBI)
Features
Clear Analytics
Microsoft BI (MSBI)
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Clear Analytics
9.0
8 Ratings
9% above category average
Microsoft BI (MSBI)
9.9
49 Ratings
19% above category average
Pixel Perfect reports
9.08 Ratings
9.942 Ratings
Customizable dashboards
9.18 Ratings
9.849 Ratings
Report Formatting Templates
8.78 Ratings
9.947 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Clear Analytics
8.9
8 Ratings
10% above category average
Microsoft BI (MSBI)
9.9
49 Ratings
21% above category average
Drill-down analysis
9.28 Ratings
9.944 Ratings
Formatting capabilities
8.78 Ratings
9.849 Ratings
Report sharing and collaboration
8.98 Ratings
9.949 Ratings
Integration with R or other statistical packages
00 Ratings
9.939 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Clear Analytics
9.0
8 Ratings
9% above category average
Microsoft BI (MSBI)
9.9
48 Ratings
18% above category average
Publish to Web
9.08 Ratings
9.944 Ratings
Publish to PDF
9.17 Ratings
9.944 Ratings
Report Versioning
8.98 Ratings
9.940 Ratings
Report Delivery Scheduling
8.87 Ratings
9.943 Ratings
Delivery to Remote Servers
00 Ratings
9.924 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Clear Analytics has almost all the features which are mostly required by the organizations for their data analytics and transformation activities. Clear Analytics is built on the support of a parallel query engine which makes it handle large volume requests and also provides optimized results. However, every solution has some limitations, Clear Analytics lacks advanced features such as Predictive Analytics which is a very demanding feature in the market as most organizations are adopting AI/ML automation for their businesses. Also, it needs to add a lot of advanced visualizations so that the user has the choice of selection. Overall a good solution to be recommended.
Microsoft BI is well suited for Stream analytics, easy data integration, report creation and UI/UX designs (limited but what all available are great ones) Microsoft BI may be less appropriate for handling huge number of datasets and difficult queries. It may also be difficult for a company with heavy data.
The race to perfect gathering of Non-Traditional datasets is on-going; with Microsoft arguably not the leader of the pack in this category.
Licensing options for PowerBI visualizations may be a factor. I.e. if you need to implement B2C PowerBI visualizations, the cost is considerably high especially for startups.
Some clients are still resistant putting their data on the cloud, which restricts lots of functionality to Power BI.
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.
I have really enjoyed working with Clear Analytics. This platform has contributed to increased production and reliable data control processes. It has flexible user interface that can be operated by any organization member. Reports are shared on simple and transparent way in the dashboard for easy access. Data analytics from all departments have created manageable working environment that have increased production.
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 have had multiple scenarios where I had to reach out to the support team of Clear Analytics, be it access-related, general queries, during initial implementation, etc. My overall experience has always been good. I got the needed support every time without any delay. I can definitely recommend Clear Analytics simply on the basis of its excellent support team.
While support from Microsoft isn't necessarily always best of breed, you're also not paying the price for premium support that you would on other platforms. The strength of the stack is in the ecosystem that surrounds it. In contrast to other products, there are hundreds, even thousands of bloggers that post daily as well as vibrant user communities that surround the tool. I've had much better luck finding help with SQL Server related issues than I have with any other product, but that help doesn't always come directly from Microsoft.
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.
There are other great tools that are out there but Clear Analytics is reasonable for our business and provides a lot of features that we specifically needed
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.