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DATOS

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Fivetran

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Fivetran vs DATOS: What are the differences?

Fivetran: Simple, reliable data integration for analytics teams. It helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination; DATOS: Acquiring and management of the clickstream data. 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..

Fivetran and DATOS can be categorized as "Big Data as a Service" tools.

Some of the features offered by Fivetran are:

  • Prebuilt connectors
  • Ready-to-query schemas
  • Automated schema migrations

On the other hand, DATOS provides the following key features:

  • Clickstream Data
  • Web-traffic Data
  • Web Scraping Data
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What is DATOS?

Datos is a global clickstream data provider focused on licensing anonymized, at scale, privacy-secured datasets to ensure its clients and partners are safe in an otherwise perilous marketplace.

What is Fivetran?

It helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination.

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Jobs that mention DATOS and Fivetran as a desired skillset
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    What tools integrate with DATOS?
    What tools integrate with Fivetran?
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      What are some alternatives to DATOS and Fivetran?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives