Time and time again Metabase's product-led growth creates a powerful flywheel: developers use the OSS to create an initial set of queries, then spread usership and query volumes to achieve critical mass within a company, such that an enterprise license goes from a nice-to-have to mission critical.ĭue to Metabase's ease of use, ten-employee SMBs can pick it up and see value in minutes while simultaneously being used by top tier, sophisticated technology organizations including Confluent, Datadog, and just to name a few.
The magic that is the Metabase user experience was encapsulated well by one customer, who described the product as “…a world-class chef's knife in a kitchen, a great tool for almost any job." The product's addressability has catalyzed strong open source adoption, clearly evident in the project’s 100M+ downloads and 25k+ Github stars. The product quickly serves stakeholders' business intelligence needs across a variety of business functions and levels of technical acumen. As a developer-led and truly self-service business intelligence tool, Metabase becomes organizations’ central nervous system for data and insights. It is in bridging the aforementioned chasm that Metabase enters the picture and ultimately shines. This gap between data and insights - in addition to the relatively slow time to value and lack of user-friendly functionality - is often why existing data visualization and business intelligence tools fail to garner sustained adoption across the enterprise. While businesses are increasingly leveraging data to inform decisions, the source of these insights tends to be siloed in warehouses, databases or stuck in excel, and therefore inaccessible to the majority of a company’s employees or customers. Snowflake valued at $82B+) data, but there is still a chasm between all that data and the ability for employees across the company to put this data to use. Hundreds of billions of dollars in enterprise value have accrued to companies that enable their customers to generate (see Amplitude), stream (look no further than Confluent), and process (e.g. At the core of this increasingly critical transformation is the generation of useful, timely insights. While accelerated sharply by the pandemic, digital transformation was already well on its way to fundamentally refactoring how businesses of all sizes function globally.
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