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DATOS

Acquiring and management of the clickstream data
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What is DATOS?

It is focused on acquiring and management of the clickstream data. We know everything about clickstream data - we can build custom panels, we can predict users’ behavior or we can deliver just raw data. Our goal - to be flexible and useful for our customers.
DATOS is a tool in the Big Data as a Service category of a tech stack.

Who uses DATOS?

Developers
7 developers on StackShare have stated that they use DATOS.

DATOS's Features

  • Clickstream Data
  • Web-traffic Data
  • Web Scraping Data
  • Semantic Website Data

DATOS Alternatives & Comparisons

What are some alternatives to DATOS?
Amazon Redshift
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.
Google BigQuery
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.
Snowflake
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.
Amazon EMR
It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
Stitch
Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
See all alternatives

DATOS's Followers
6 developers follow DATOS to keep up with related blogs and decisions.