Here’s the difference between Starburst and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
For data-driven companies, Starburst offers a full-featured data lake analytics platform, built on open source Trino. Our platform includes the capabilities needed to discover, organize, and consume data without the need for time-consuming and costly migrations. We believe the lake should be the center of gravity, but support accessing data outside the lake when needed. With Starburst, teams can access more complete data, lower the cost of infrastructure, use the tools best suited to their specific needs, and avoid vendor lock-in. Trusted by companies like Comcast, Grubhub, and Priceline, Starburst helps companies make better decisions faster on all their data.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Overview | ||
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Categories | Data Lakes, Data Mesh | Data Modelling and Transformation |
Stage | Mid Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaSOn Prem | On Prem |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium |
Location | US | US |
Companies using it | ||
Contact info |