Here’s the difference between Sigma and Databand. The comparison is based on pricing, deployment, business model, and other important factors.
Sigma computing offers a data discovery platform to users for querying data from their warehouses. Compatible with multiple data warehouses including Snowflake, Google BigQuery, and Amazon Redshift. Users can build queries for extracting data through its visual interface and excel-like formulae.
Databand is a provider of cloud and AI based data observability solutions. It provides an AI platform for unified data pipeline monitoring. It allows data scientists, data engineers, and data analysts to build, manage and optimize their processes for model training, experimentation, testing, and deployment. It is saturated with DataOps in providing automation and integration solutions through a pipeline framework for machine learning and iterative data products.
Overview | ||
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Categories | Business Intelligence (BI), Spreadsheet based BI | Data Quality Monitoring |
Stage | Mid Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Contact Sales |
Location | California, US | New York, US |
Companies using it | ||
Contact info |