Here’s the difference between Snowflake and Nexla. The comparison is based on pricing, deployment, business model, and other important factors.
Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.
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.
|Categories||Data Warehouses||Data Mesh, Reverse ETL Tools|
|Stage||Late Stage||Mid Stage|
|Target Segment||Enterprise, Mid size||Enterprise, Mid size|
|Pricing||Contact Sales||Contact Sales|
|Location||California, US||San Mateo, California|
|Companies using it|