Here’s the difference between Coginiti and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Coginiti provides integrated analytics management tools powering collaboration between data engineers and business analysts. It couples ad-hoc data ingestion, data query, and discovery with the analytics catalog to enable companies create, share, and reuse SQL analytics.
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 Workspace/ Collaboration | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Enterprise, Mid size, SMBs | Mid Size, Enterprise |
Deployment | On Prem | On Prem |
Business Model | Commercial | Open Source |
Pricing | Free trial, Contact Sales | Freemium |
Location | California, US | US |
Companies using it | ||
Contact info |