July 18, 2022
March 23rd, 2023
“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith
The best asset for any organization is the huge chunk of data that it gathers over the years. The amount of value and information that it contains is unimaginable and that is extracted, analyzed, and utilized by business intelligence tools. The significance of BI tools has been exponentially increasing, especially after the pandemic, and two popular names that are ruling the scenario are Power BI and Sisense.
Sisense vs Power BI is an interesting comparison that is often made in the world of BI tools. Here is an article that compares them both, in terms of their associated parameters. Before we compare them both, let us individually have a look at their overview and key features.
Sisense is a well-known BI tool that empowers organizations for the analysis and development of business trends pertaining to huge data bulks. It infuses analytics into the different streams of work that you are involved in and creates a self-service experience for getting AI-based information. It offers drag-and-drop, comprehensive BI processes that assist in preparing, analyzing, and visualizing different complicated datasets.
It is ideal for organizations that possess a lesser number of IT resources and have less experience with Big Data. With Sisense, it can now handle multiple consumers with a common server. It is a tool that helps infuse analytics everywhere. It includes data visualization, modeling, and AI analytics. It is a scalable platform that possesses different security features like disaster recovery and attack surface monitoring.
Sisense is flexible and can adjust according to the requirements of any organization – be it a small unit, startup, or large enterprise. It offers a complete 360-degree view of the information across different workstreams, hardware, and other infrastructure. It also integrates between cloud and on-premises infrastructure seamlessly. It lets you collect data from disparate sources and consolidate them into a unified repository.
Powered by Microsoft, Power BI is a highly popular BI solution to analyze and display raw data and offer insightful information. It amalgamates data visualization, business analytics, and the best ways to help you take the ideal business decisions. It offers a variety of BI capabilities like AI competencies, data connectors, and data visualization. It integrates seamlessly with Power BI and assists businesses in completely visualizing data across different spreadsheets.
Since it is designed by Microsoft, it is backed by the most competent features that can bring about the best BI facilities to organizations. There is a robust security feature that protects the data completely, end-to-end encryption, and real-time access monitoring. It is simple to use, comprehensive, and encompasses all areas of business intelligence. Microsoft’s Power BI offers a platform to gather, analyze, and envision data through appealing visualization and interactive reports, enabling businesses to improve profitability and discover insights.
Gartner and Forrester have recognized Microsoft as a leader in analytics and Business Intelligence platforms, making it one of the popular business intelligence platforms. It is a tool that lets you connect with a wide range of data sources with ease and use that data to perform enterprise analytics on the go. Microsoft BI Stack contains many tools, applications, and sources for companies of any size and domain.
MySQL, PostgreSQL, Amazon Web Services, Google BigQuery, Snowflake, Exasol, Amazon Athena, Qubole, MemSQL, Vertica, Salesforce, Microsoft SQL Server, Amazon Redshift, Google Spreadsheets, Heroku Postgres, Zendesk, Google Adwords, Google Analytics, QuickBase.
ALM Toolkit, Tabular Editor, DAX Studio, Comscore, MailChimp, Metadata Translator, Google Sheets, Microsoft Excel, Power Query, Dataflows, Azure Data Factory, Azure Stream Analytics, Microsoft SSIS, GitHub, Acumatica, Azure Mobile Management, Salesforce, Circuit ID, Microsoft Dynamics.
Interesting Read: Top Power BI Alternatives And Competitors List
|Overview||Microsoft Power BI transforms data into enriched interactive visualizations, making the best use of business analytics tools to distribute dashboard-based perceptions through all devices||Sisense data & analytics platform offers simple ways to mashup data from disparate sources and converts it into robust, actionable analytics applications|
|Target Customer Segment||Small, medium, and large enterprises||Medium and large enterprises|
|OS/Devices Supported||Android, iPhone, iPad, Windows, Windows Mobile||Windows, Linux, Mac, iPhone, iPad, Android|
|Pricing Models||Two paid versions – Pro and Premium||Pricing based on quote with a customizable plan|
|Predictive Analytics||Not available||Available|
|Data Connectors||Around 500 data connectors||Around 100 data connectors|
|Embedded Analytics||Power BI Embedded and Power BI Premium||Fusion Embed solution|
|Getting Started||Easy to start off because of scalable packages||Takes time to set up because of advanced analytics|
|Data Modeling Connects||Use of Data Analysis Expressions for data analysis||Makes use of ElastiCube for support to data sources|
|Data Security||Robust encryption for data for Power users and Casual users||Multi-level security for all types of users|
Sisense and Power BI are two well-known names in the world of business intelligence. Both are highly recommended by top organizations, and both have their own share of goodness.
Power BI is recommended when there is a general business usage that needs scalability from small to large organizations. It is also recommended when you have advanced knowledge in Excel and related operations.
Sisense is recommended when there are huge, complicated operations and there is a need for embedded analytics. It is also recommended when there is a need to embed your dashboard into your application seamlessly.
Comparing Sisense vs Power BI depends upon organizational parameters like costing, skilled expertise, project deadlines, etc. to finalize which one to choose from. Either one you choose; it will be a good one!
Interesting Read: Power BI vs SSRS: An In-depth Comparison
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