Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
$168
per year per user
Amazon Redshift
Score 8.9 out of 10
N/A
Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
$0.24
per GB per month
Sisense
Score 7.4 out of 10
N/A
Sisense is a BI software and analytics platform. With what the vendor calls their In-Chip™ and Single Stack™ technologies, users have access to a comprehensive tool to analyze and visualize large, disparate data sets without IT resources.
N/A
Pricing
Microsoft Power BI
Amazon Redshift
Sisense
Editions & Modules
Power BI Pro
$14
per month (billed annually) per user
Power BI Premium
$24
per month (billed annually) per user
Redshift Managed Storage
$0.24
per GB per month
Current Generation
$0.25 - $13.04
per hour
Previous Generation
$0.25 - $4.08
per hour
Redshift Spectrum
$5.00
per terabyte of data scanned
No answers on this topic
Offerings
Pricing Offerings
Microsoft Power BI
Amazon Redshift
Sisense
Free Trial
Yes
No
Yes
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
Power BI Desktop is the data exploration and report authoring experience for Power BI, and is available as a free download.
Cost-effective but has a lot of features to offer. The perfect tool to build reports and dashboards with a large amount of data and complex data modeling. End users do not require much knowledge to get used to the tool. Regular updates from Microsoft to add new features and has …
Microsoft BI tool does a better job than most of the other software. The reason is excellent visualizations and its capability to connect with various other software and data sources. Tableau does a better job when it comes to tutorials and being more user-friendly. Also …
Power BI, Tableau, and QlikView are the market leaders when analyzed on Gartner`s magic quadrant for business intelligence tool. One of the critical drawbacks of all these visionary tools is the absence or expensive back end that are needed to support the infrastructure. …
Each tool has strengths, but Sisense stands out for its ease of use, scalability, and robust data integration. We chose Sisense for its balance of robust functionality and ease of use. We are happy that it can handle complex data integrations that aligned perfectly with our …
Sisense truly stacks up against Power BI, Domo or Tableau as one of the most accurate data analysis applications that offers an intuitive approach to data exploration. You can use its web-based interface to tap the expertise of your data analytics team. They can build and share …
Sisense does very well against most of the tools in the market. We chose this tool because of its great visualizations and easy to deploy procedures. The reports are very easy to generate and distribute them across departments and organization. It provides a great interface to …
Before purchasing Sisense and began recommending it as a solution to our clients, we tested four other BI visualization tools. All four of these ranked high on the Gartner Magic Quadrant. We researched Domo, Looker, MS Power BI and Tableau. Looker could be a better solution if …
Verified User
Analyst
Chose Sisense
I've used a few different analytical engines over the last few years and none have the efficient ability as both a data manager and a dashboarding tool - usually, other platforms excel in one area or another. To expand further, tools that succeed in data management and …
Sisense can't compare to any tool for the ease of user, intuitive interface and "time to data". I gave been working with both large enterprise and small SMB's using Sisense, and it is amazing to see how small companies quickly learn how to use it and how practical and efficient …
Features
Microsoft Power BI
Amazon Redshift
Sisense
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Microsoft Power BI
8.2
198 Ratings
0% above category average
Amazon Redshift
-
Ratings
Sisense
9.7
47 Ratings
17% above category average
Pixel Perfect reports
8.2169 Ratings
00 Ratings
10.037 Ratings
Customizable dashboards
8.7197 Ratings
00 Ratings
10.047 Ratings
Report Formatting Templates
7.8180 Ratings
00 Ratings
9.033 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Microsoft Power BI
7.9
196 Ratings
2% below category average
Amazon Redshift
-
Ratings
Sisense
8.8
47 Ratings
9% above category average
Drill-down analysis
8.3193 Ratings
00 Ratings
10.047 Ratings
Formatting capabilities
7.7193 Ratings
00 Ratings
9.047 Ratings
Integration with R or other statistical packages
7.4143 Ratings
00 Ratings
9.027 Ratings
Report sharing and collaboration
8.3191 Ratings
00 Ratings
7.33 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Microsoft Power BI
8.0
189 Ratings
3% below category average
Amazon Redshift
-
Ratings
Sisense
10.0
46 Ratings
20% above category average
Publish to Web
8.1179 Ratings
00 Ratings
10.036 Ratings
Publish to PDF
7.9174 Ratings
00 Ratings
10.046 Ratings
Report Versioning
7.7145 Ratings
00 Ratings
10.024 Ratings
Report Delivery Scheduling
8.3148 Ratings
00 Ratings
10.039 Ratings
Delivery to Remote Servers
7.9111 Ratings
00 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data
If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
I believe Sisense is perfectly suited for any organization of any size that have access to the proper resources, as the tool is very expensive. The data connectors come in all shapes and sizes out of the box, which allows a great deal of data control within the ElastiCubes. Additionally, while the platform only runs on Windows platforms, the web application can be accessed on any client: mobile, Apple, Windows, etc. This allows a much more flexible user experience, resulting in data and dashboards reaching further than any other tool.
Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
Constant updates (this is both good and bad at times).
User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.
[Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
[Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
[Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
[Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
The usability of the application on mobile devices needs some improvement, especially navigation and filtering.
Dashboards that are created by multiple users can be a bit of a hassle to share by Admins.
If you need to embed dashboards into your website, you are require to buy a license separate from the user and platform license. This is a norm on most BI visualization tools, but Sisense can seem a bit on the high side, cost-wide.
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
I think the business and myself as a user has come to rely on SiSense as a dashboarding and quick ad-hoc reporting tool. I am hoping to integrate SiSense dashboards into more parts of the business in the future. We have reduced our report turn-around time for the most part from hours/days to minutes and in some cases almost the speed of thought. Reports are also easier on the eye and more easily distributed. I would also like to say that the support and professionalism from the SiSense team has been excellent.
Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
New V5 is ground floor of an exciting collection of possibilities. Weekly Sisense developers come up with new functionality that they share with us in their forums. The move to HTML5 has been pleasing in that widgets auto size themselves into appropriate forms in the board but everyone of them can be popped out to full page size to be looked at in more detail
There are very few situations when there is unexpected downtime. Mostly during development, new dashboard implementation and during upgrades. other then that there were very few crashes.
SiSense is usually performing better then other solutions even if going for complex reports/dashboards(of course within reasonable frames). I haven't noticed any bad influence on other systems, usually if something happens it stays within SiSense.
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
SiSense's support ninjas are very knowledgeable and are exceptionally responsive. So far, all of the issues we ran into were resolved within minimum time. My sense of dealing with the support staff at SiSense is that they are very focused on not just answering your immediate question, but also to delve into the cause of the matter.
Easy and free training that allowed us quickly understand basics in SiSense and start using them. More advanced features requires some browsing through SiSense forums, but there is always support to help, and SiSense support is one of the best whith which I worked so far.
Many examples, videos and scenarios which you try on your own right away. This combined with in-person training gives you enough to utilize most of SiSense's power.
Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.
Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS). Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again. Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
1) Easy to use, really, there is nothing too much to say. The set up is easy and not confusing. You can use it internally or externally.
2) Customer Service, having spoken to various product reps from similar industry. Sisense rep provides you with the best support to get started, and it is really appreciated.
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.