Well, as the name indicates, Superset started in the Apache incubator back in 2016 and quickly became one of its top priority projects coinciding with the recent stable release at the beginning of 2021. A good example for the former would be Preset (founded by the creator of Superset, Max Beauchemin), who offers a hassle-free and fully-managed cloud SaaS service to the platform. Conversely, open-source platforms such as Superset avoid vendor lock-ins since you can both switch between commercial open source (COSS) vendors, and host it yourself on-premise.
Chart.io was downsized and shut down by Atlassian ). Over the past few years, other commercial tools were acquired by companies such as Tableau by Salesforce, Looker by Google Cloud, or Periscope by Sisense, which can infer the risk of vendor lock-ins forcing customers to migrate and rebuild their assets (e.g. Given the maturity and dynamism of the BI market, consolidations are more frequent than ever. Among these promising technologies, Apache Superset is set to challenge its competitors in many ways, therefore, Hiflylabs closely monitors the roadmap of the project. These were considered as the mainstream solutions for quite a while, but now, emerging open-source alternatives are hungry enough to beat the market with their simplicity and cost-friendly approach. data streamer (Stitch, Fivetran, Airbyte) + centralized cloud storage (AWS, Azure, GCP, Snowflake, Databricks) + transformation tool (dbt) + BI platforms), proprietary tools pop into our head such as Tableau, Power BI, and more recently Looker. When we talk about interactive data visualization, especially in the context of modern data stacks (e.g. will discuss our experience in implementing and testing Superset on the pipeline illustrated with the figure below. deals with demonstrating the strengths of Superset and how it’s situated in the diverse dataviz market, while the upcoming Part II. This article is part of the short series.
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