Frequently Asked Questions

Getting started with Data Streams, pricing, and data privacy

Getting Started

How do I sign up for Data Streams?

It’s so easy, just go to our sign-up page, fill in the fields, and your account is created on the spot.

What are the technical requirements to use Data Streams?

There are no technical requirements, you just need to create an account.

Also, to be able to transfer cloud data to a data warehouse, you need access to the data source and a data destination (data warehouse) supported by Data Streams.

What are Data Streams' limitations?

Other than the 50k/month row limitation (for the free, individual plan), any other limitations you might encounter using Data Streams are related to the cloud data source's API or the data warehouse you're migrating your data to.

Which Data Sources are supported by Data Streams?

  • Facebook Pages
  • Facebook Ads
  • Google Ads
  • Google Analytics
  • Adobe Analytics
  • Kochava
  • Doubleclick
  • Bing Ads
  • YouTube
  • Twitter Ads
  • Search Ads 360
  • Snowflake
  • Google BigQuery
  • Microsoft SQL Server
  • MySQL
  • PostgreSQL
  • Amazon Redshift
  • Teradata

We are in the process of adding new platforms, so make sure you subscribe to our newsletter to keep up with all our updates.

If you'd like to create a connector for your platform, let us know: support@cognetik.com

Do I need to link credentials every time I create a new connection?

You only need to link your platform's and data warehouse credentials once as they'll be saved for all subsequent requests to the same profile.

Which Data Destinations are supported by Data Streams?

  • Amazon Redshift
  • MySQL
  • Microsoft SQL Server
  • BigQuery
  • Snowflake
  • Teradata
  • PostgreSQL
  • MongoDB
  • FTP
  • Amazon S3

We are in the process of adding new warehouses, so make sure you subscribe to our newsletter to keep up with all our updates.

If you'd like us to create a connector for your data warehouse, let us know: support@cognetik.com

Pricing & Data Privacy

Is Data Streams free?

We offer a free (individual plan) along with paid plans. Visit our plan page for more information.

What's the difference between the free (individual) and paid plans?

In a nutshell, the free plan has a 50k/month row limitation and offers access to our existing connector list and support center.

For the paid plans, the Business plan offers up to one million rows per month, and the Enterprise plan allows up to three million rows of data per month. Depending on the plan, the following may be included: solution setup, on-boarding, training, a dedicated account manager, priority technical support, and the option to create custom-built connectors is also included.
For more information about the paid plans, please contact us at support@cognetik.com.

Do you have any hidden fees for the free (individual) plan?

No, there are no hidden fees. Data Streams is absolutely free to use!

Why are you offering a free (individual) plan? Are you selling my data?

We're building these tools so that we can do our job better as an analytics services agency, and in the meantime to help analysts and marketers do their job better

We don't cache any of the data you pass through our tools, let alone store it or sell it in any way. Data Streams is essentially a pipeline. It sends data from the marketing cloud platforms directly into your data warehouse.

How does Cognetik make money?

We make our money by selling our products and analytics services to Fortune 1000 companies around the world. We help them enable the tools we build within their enterprises so they can extract transformational insights.

So, if one of our clients needs help with their dashboards, tag management solutions, A/B testing, funnel analysis, reports automation, or even training on analysis and implementation, our team of industry experts is there to help them.

The Cognetik Cloud Connector and Data Streams are just a few of the tools we built with our dedicated product and engineering team, but we have great products in the pipeline that we'll continue to launch and improve.

If you guys need help setting up Tableau dashboards, building measurement plans, doing analyses, or any kind of analytics engineering, let us know! We'd be glad to help!