Here’s the difference between Nexla and Google BigQuery. 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.
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
| Overview | ||
|---|---|---|
| Categories | Reverse ETL Tools, Data Mesh | Data Warehouses |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Contact Sales |
| Location | San Mateo, California | US |
| Companies using it | ||
| Contact info |