#METABASE VS POWER BI DOWNLOAD#
#METABASE VS POWER BI FREE#

Web-based data visualization and interactive dashboards.But it seems that, like with PowerBI, Google Data Studio is only a good fit if most of what you do is already in the Google ecosystem. Some users have gotten around this issue by porting their data to Google Sheets and then connecting Data Studio to that Google Sheets file. Admittedly, it’s fairly limited in the number of data sources it can connect to.

#METABASE VS POWER BI FREE#

Google Data Studio appeared in 2016 as a new free Google offering. Often overlooked, Google Data Studio could fit the bill for some simpler use-cases for business intelligence software. The company has done a lot of work to port it into the cloud but it simply doesn’t work as well in that space as do a lot of the newer business intelligence tools.

#METABASE VS POWER BI DOWNLOAD#

Main downside: Tableau has been around since 2003 and in most cases is still used as a program that you download to your local computer. Noteworthy because: It’s still king of the mountain in 2020. A strong mobile experience… in case you’re into doing data analytics on your phone.150+ pre-built functions for running common data analytics operations.Some of the most attractive out-of-the-box visualizations in the industry.Friendly low-code interface for making visualizations and dashboards.Tableau is easily the market leader in BI tools.

If you’ve been in business analytics or data science for any length of time, you know the name and have probably used it at least once. Tableau is the old guard of business intelligence. Main downside: Knowi is a startup, so they may be missing some of the polish of the big players. Noteworthy because: Has some cutting edge features that could have a big impact on the BI world.

Knowi also supports all the standard features you would expect from a BI tool: data visualizations, interactive dashboards, reports, querying and analytics. There are a handful of growing startups out there right now where a portion of their product is Knowi in disguise. This means you can embed Knowi in your product with your own branding instead of Knowi branding. One other item of note is that Knowi supports White Label Embedded Analytics. Knowi, leveraging that Data Virtualization advantage, connects natively to most NoSQL data sources without needing ETL or a connector. Native NoSQL Data Analytics: Most BI tools require special connectors to grab data from sources like MongoDB or need to move it to a structured data warehouse. Knowi has made a big bet on this, having recently released this feature and soon deploying a Slack analytics version of the feature. Search-based analytics is also sometimes called natural language business intelligence. Search-Based Analytics: Search-driven analytics is the ability to ask questions of your data the same way you would type questions into Google and get real actionable data, charts, or dashboards in response to your query. In BI, this means being able to have dashboards and analytics on data without first having to migrate everything to a single data warehouse using ETL. Data Virtualization adds a logical data layer that allows an application to retrieve and manipulate data without needing prior knowledge of the data’s structure. These are Data Virtualization, Search-Based Analytics, and native support for NoSQL data analytics.ĭata Virtualization: Data Virtualization has been getting more attention in data integration circles but Knowi is the only platform that has brought the technology to business intelligence. The Knowi platform takes a unique approach to business intelligence by focusing on three big differentiators that have not been a part of traditional intelligence tools. Knowi is a new name on the business intelligence radar, only recently starting to show up as a real competitor to the likes of Looker and Tableau.

Metabase vs power bi