In-database: Holistics, Looker, Redash, Metabase, etc. In-memory: Tableau, MicroStrategy, Sisense, PowerBI, etc. SQL: Holistics, Looker, Mode, Redash, MetabaseĮmbedded: MicroStrategy, Tableau, PowerBI, SisenseĮxternal: Holistics, Looker, Metabase, Redash, Business intelligence landscape can be incredibly confusing because tools from previous paradigms stick around for a long, long time, therefor, having a categorization scheme in your head cuts through all that noise.īusiness intelligence tools in the market can be categorized in the following ways: We insist so because having a taxonomy for the business intelligence space is useful, it allows you to quickly place the tool within the first few minutes of browsing a vendor’s website. If you have little time to spare, go straight down for the list below. Sounds unnecessary? After all you come here for a list, not other mumble jumble right. You need to make sense of your data, and you need a budget-friendly way to do so, then an open-source Business Intelligence tool is obviously your top of mind.īut before trialing a bunch of open-source BI tools (which can be time-consuming, even with article like this delineating pros and cons), let’s take a step back and take a dive into the categorization of BI space.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |