Are you building a new data platform in the cloud, on-premise, or in a hybrid environment, and need to transfer data to it either once or on a recurring basis?
Integrate with Adoki. It will handle all data transfers to the new platform and back – automatically.
Adoki efficiently transfers data to and from any data platform or system (data warehouse/database, cloud, Hadoop platforms, or streaming applications), both on a one-time and recurring basis.
It takes into account the IT infrastructure load of the organization and, if necessary, can shift data transfer or replication to an optimal time.
It centrally manages and monitors data transfers. As a result, you can manage with a smaller team of specialists than before.
Find out how Adoki will make your work easier and your data transfers more efficient
One person manages 10,000 data transmissions instead of the team of experts previously needed.
Centralizes the monitoring and management of data traffic into a user-friendly graphical interface.
It has connectors to all major technologies and has an open interface for creating additional/required connectors.
With its modular architecture, it can be easily integrated into an organisation’s IT environment without the need to purchase additional HW or SW.
It can take advantage of dead spots and times for data transfers, runs data transfers and replications on a schedule, and can split large transfers into smaller ones.
Automatically optimizes data transfers to maximize computing power and not limit platform traffic.
Sends alerts about pending or incomplete data transfers, integrations, or errors.
When you need to transfer data from on-premise systems to the cloud, but often lack the necessary knowledge or infrastructure. Moreover, data must be replicated to the cloud at minimal cost.
WHAT DO YOU GET?
Custom Mapping Type
Incremental Loading
Simple Transformations
Resource Management
The ideal solution when you need to transfer data from one platform to another, or to other systems that are on-premise, hybrid, or cloud-based, and need to keep data consistently synchronized in them.
The goal is to ensure the data is consistent (i.e., it has an updated structure if changes occur in the source systems) and also to be able to delete certain data after a specified period.
WHAT DO YOU GET?
Comprehensive Scenarios
Metadata Storage
Schema Evaluation
Optimize system utilization during replications to simultaneously conserve system resources and maintain visibility into ongoing activities. Avoid typical capacity issues associated with the number of tasks initiated when involving traditional ETL tools.
WHAT DO YOU GET?
Resource Management and Monitoring
Runs Directly on the Big Data Platform
Transfer Statistics
Metadata Storage
Execute data analyses and Data Science tasks using data from multiple systems, ensuring that the data is correctly transformed, anonymized, made available as soon as possible, and compliant with GDPR. Also, receive the results back into the source systems.
WHAT DO YOU GET?
Comprehensive Approach
Easy Transformations
Scheduling
REST API
Try out how working with Adoki would feel, discover its full capabilities, and see how simple data transfers become with it.
No specific software technologies are required to run the demo. The demo operates without any installation in a standard web browser. We will send you login credentials to our cloud environment, and you can start exploring.
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