Here’s the difference between Nexla and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Nexla is the leader in unified data operations and a 2021 Gartner Cool Vendor. This platform makes it simple for anyone to create scalable data flows. Teams working with data get a no/low-code unified experience to integrate, transform, provision, and monitor data for any use case. Data users with varying skill levels work collaboratively to create ready-to-use data products. As a result, organizations get zero-friction, governed, and agile data operations.
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 | ||
|---|---|---|
| Categories | Reverse ETL Tools, Data Mesh | Data Modelling and Transformation |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
| Deployment | SaaS | On Prem |
| Business Model | Commercial | Open Source |
| Pricing | Contact Sales | Freemium |
| Location | San Mateo, California | US |
| Companies using it | ||
| Contact info |