A single comprehensive data solution.

Advanced data management. Scalable data pipelines. Self-service analytics.

Remove data silos, get rid of data friction, and automate the process of connecting your various databases and analytics systems.

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Visibility. Control. Autonomy.

Capabilities

With Kiimkern Data Platform, achieve high data maturity with an end-to-end solution. Including data discovery, quality, and integration, as well as metadata management and cleansing. Govern data across hybrid and multi-cloud environments. Secure compliance with regulations such as GDPR, CCPA, and others.

Ingestion

Storage

Training

Visualisation

What we think

How Does Information Overload Affect Your Business & How to Stop It?

Last year I wrote about why booking too far in advance can…

It seems as if everyone in the street is looking at their phone these days. There is a lot of interesting things going on if only you just look up. Taken in China - 2018.

Shadow IT: definition, risks, and measures to prevent it

Last year I wrote about why booking too far in advance can…

The 6 big things we’ve learned about hybrid work so far

Last year I wrote about why booking too far in advance can…

MORE INSIGHTS

How Does Information Overload Affect Your Business & How to Stop It?

Last year I wrote about why booking too far in advance can…

Shadow IT: definition, risks, and measures to prevent it

Last year I wrote about why booking too far in advance can…

The 6 big things we’ve learned about hybrid work so far

Last year I wrote about why booking too far in advance can…

Top 6 Essentials Modern Workplace Technology

Last year I wrote about why booking too far in advance can…

IT retention: Top 8 Strategies for retaining talent [CIO’s role]

Last year I wrote about why booking too far in advance can…

Technologies & Partners

We seamlessly integrate with a variety of ecosystem partners and platforms to enable greater flexibility and speed to results.

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Frequently asked questions

General Questions

A modern data platform is needed because the volume, velocity, and variety of data have increased exponentially in recent years. This has made it difficult to store and query data using traditional methods. A modern data platform helps organizations overcome these challenges by providing a scalable, flexible, and easy-to-use solution for storing and querying data.

Data friction is the term used to describe the challenges involved in accessing, managing, and using data. It can occur when data is siloed, when there are different formats and standards for different types of data, or when there are insufficient tools for working with data. Data friction can impede the flow of information and make it difficult to get value from data.

A data lake is a massive repository of structured and unstructured data, and the purpose for this data has not been defined. A data warehouse is a repository of highly structured historical data which has been processed for a defined purpose.