So in this post, we’re helping you find the answers, by looking at the current BI tool landscape and their differentiators. There’s a bit of confusion on how these tools work and their use cases. data acquisition and ingestion, ETL pipelines and data discovery layers. But much of the hard work to build a data platform happens underneath the visualization layer, e.g. What seems to matter to buyers of analytics is the “eye-candy” of the dashboards. We believe that the visualizations and charts are a commodity. They have brought down the cost and complexity to build a data platform, in a shift away from Hadoop, with BI tools as the catalyst to make data exploration and visualization available to a much wider audience. That’s a lot of movement in a short time for a segment of enterprise software that’s been somewhat static in the past 25 years.Ī major driver in the uptick of M&A and venture activity are cloud warehouses like Amazon Redshift, Google BigQuery and Snowflake.
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December 2022
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