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Adoki

Data replication tool

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

Are you trying to figure out how to efficiently get data to all the places where a large organization needs them?

To various applications, systems, databases; in various formats; to environments on the premises or in the cloud?

And what about how to get the data there securely, in consistent structures, at the specified time?

All while maintaining full control over them, of course. Meet Adoki.

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Adoki automatically replicates data using metadata

Adoki enables companies to efficiently replicate data between systems i.e., to generate and scale data transfers. It centrally manages and monitors transfers to and from any data platform (on-premise or cloud) based on metadata.

It can connect to any data repository using native solutions and connectors, and it creates and automatically checks data schemas and ensures that the data are always consistent.

Adoki transfers data quickly, efficiently and securely. It also provides statistics, thanks to which data transfers can be optimized automatically.

1 person only can manage tens of thousands of data transfers, rather than the team of specialists needed previously.

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10 000s

A single person can manage tens of thousands of data transfers, rather than the team of specialists needed previously.

Dozens of TB

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

Why replicate data with Adoki?

Make it possible for your business to work effectively with replicated data

Support quick and performance-efficient data replicas

Use Adoki to handle data transfers of any volume, range or format

Ensure that your current transfer solution is flexible enough to minimize the load on infrastructure and systems

Client Case-Study: Data replication in major Czech bank

One of the top banks in the Czech Republic needed to automatically move huge quantities of data between data warehouse and Big Data platform. Adoki was deployed to cover all offloads between a large number of platforms, including primary applications and other databases (Teradata, Oracle, PostgreSQL, SQL Server, Sybase). Adoki maintains consistency in complex data structures all the time and saves time, effort and resources in company that need data in multiple locations across platforms. Data transfers are automatically synchronized, scheduled, and monitored without failures. 

Business use cases for Adoki

Typical technical use cases of data replications with Adoki

Filling the data lake automatically

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Adoki automatically replicates any files, tables and databases into the data lake. While doing so, it uses predefined scenarios that take into account the requirements of both the source and the target.

Among the scenarios used most often is the mirror scenario, which replicates data from the source systems to the stage layer. Here, the data are unified and checked. They are then published to the mirror layer, which provides a copy of the data for quick viewing and use. The mirror stage also facilitates the creation of an archive layer, which acts as an data backup for regulatory and technical purposes.

From on-premise systems to the cloud and back

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Adoki replicates data from various on-premise systems to cloud storage and back.

Adoki can transform, anonymize and filter data from on-premise systems before the data are actually replicated to various cloud technologies. It is possible to deploy Adoki both on-premise and in the cloud.

Adoki knows the load that connected systems are placing on the infrastructure and how much throughput each transfer requires. As a result, Adoki can manage replications and scale them (up and down).

Start working with Adoki - easily and intuitively

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Graphical user interface

Developers and users work with Adoki using an intuitive graphical user interface

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REST Interface

For systems and automated frameworks, Adoki offers a REST interface

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Elastic/Kibana dashboards

Adoki provides dashboards in Elastic/Kibana, an open-source tool for visualizing processed logs

Adoki's user-friendly interface

Users access Adoki through a web interface that allows them to:

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Prepare data transfers

Set up what to transfer and how, plan when and how often the transfer should occur, etc.

Control and configure data transfers

Set limits on individual systems, for example, on the number of connections, memory size, etc.

Manage data transfers

Turn them on or off, change the priority of a transfer, track its progress, set up notifications about the progress, etc.

Monitor data transfers

Browse the transfer history, track statistics, monitor platform load, etc.

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What you can accomplish with Adoki

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Replicate, synchronize, distribute, consolidate, migrate, snapshot and ingest data from any systems or databases

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Automatically generate target schemas based on source metadata.

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Scale up to hundreds of sources and targets

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Safeguard the consistency and integrity of all data structures

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Minimize impact, i.e., it does not overload source or target systems

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It can be set up quickly and easily using an intuitive graphical interface (GUI), without any manual programming

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

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Transfer data in legacy enterprise and hybrid environments – in real-time or batch mode

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Centralize data transfer monitoring and management. Thanks to detailed logs, all transfers can be audited

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Customizable modular solution to fit organization processes.

Free trial: you will never change back

Request a demo of Adoki, a data replication tool developed by Adastra. Test out how you would work with Adoki, what it can do and how easy it makes data transfers. 

You do not need any specific SW to use the demo, and you do not need to install it: it runs in a regular web browser. We will send you access credentials for our cloud environment and you can start testing easily.

Do not miss

Interested? Book a free consultation now.

Thank you

We will contact you as soon as possible.

Marcel Vrobel

Adoki Development Lead

Lukáš Kovanda

Head of Sales Development, Banking & Finance


   

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