It automates most of the work data engineers and analysts traditionally do to spin up and run a modern data stack. It manages your data warehouse, build and maintain your ETL pipelines, and build scheduled transforms to fit your needs.
Mozart Data is a tool in the Databases category of a tech stack.
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What are some alternatives to Mozart Data?
Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
Dropbox, Help Scout, Recurly, Google Cloud Functions, Amazon CloudFront and 7 more are some of the popular tools that integrate with Mozart Data. Here's a list of all 12 tools that integrate with Mozart Data.