Adoki

Adoki manages every aspect of data offloading

Get ready for data-driven business. Get the same data on-premise and in the cloud.

Adoki tool

         
   
         

transfers data between various systems such as databases, data warehouses, Hadoop, and cloud platforms – quickly, effectively and securely

 

replicates huge numbers
of objects in a minimal
amount of time

 

manages everything 
automatically 
from one place

 

 

 

 

 

With Adoki, you will get

         
   
         

Hybrid Data
Lakes

Ensure you have the same data everywhere, whether you use on-premise data platforms or the cloud.

 

Managed data transfers

Permanently consistent data structures and a minimal impact on your IT infrastructure.

 

Any number and volume

The number and size of tables
are unlimited; there are no restrictions on formats or sources.

 

 

 

 

 

Adoki controls and manages data transfers

Adoki enables companies to replicate data between systems efficiently. It is a central application that manages and monitors data transfers to and from any data platform (on-premise or in the cloud).

The data transfers are automatically optimized to achieve the highest possible computing power and so as not to limit the platforms’ operation.

5,000

A single person only can manage 5,000 data transfers, rather than the team of specialists needed previously.

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A data replication platform for comprehensive data management

Built on open-source technologies, Adoki is a platform that makes it possible to generate and scale data transfers. It can connect to any data storage using individual native solutions and connectors. It automatically checks data schemas and makes sure that they are consistent. It provides statistics and optimizes data transfers to minimize platform overload.

10+

Adoki can easily replicate dozens of TB of data every day.

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Adoki features

Replicate,  synchronize, distribute, consolidate, migrate, snapshot and ingest data across major vendor systems.

Quick and easy set up with an intuitive GUI, eliminating the need for manual coding.

Automatically generate target schemas based on source metadata.

Makes it easy to configure data transformations, even during data transfers.

Scale up to hundreds of sources and targets.

Move data across the enterprise or hybrid environments with real-time processing and batch processing.

Keep the consistency and integrity of complex data structures.

Centralize your monitoring and control with an intuitive GUI.

Reduce impact on source systems and target systems.

Customizable modular solution to fit organization processes.

Use cases

Supported systems

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Media coverage

In the article below, learn about one of the options for regularly moving key data from an Enterprise Data Warehouse onto a Big Data platform:

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Interested? Book a free consultation now.

Thank you

We will contact you as soon as possible.

Matej Bordáč

Managing Consultant

Matej Bordáč