Gets your SQL ETLs to the Cloud

Migrate your existing SQL ETL jobs to any cloud platform in seconds. Speed up your ETL jobs in native cloud platforms. Reliably, without any errors.

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Key features & benefits

Reliable metadata harvesting

Whether your legacy solution uses enterprise ETL tool or hard-coded PL/SQL procedures, ADELE provides comprehensive list of the connectors to both options. Rely fully on the ADELE's capabilities to extract knowledge and understand the logic of your data solution.

Automated generation of the target data pipelines

Reimplementation of data pipelines in the target platform can be tedious job. Not only it requires a lot of efforts, but is also prone to human errors. Different coding styles can also lower the transparency of the target solution. Let ADELE generate the jobs instead and save efforts for value adding re-design of your legacy solution.

SQL-like languages parsing

Write your logic in simple SQL-based queries and let ADELE generate your target data pipelines, ether you are building your solution from scratch or leveraging on the existingknowledge.

Extensive data lineage and impact analysis capabilities

Comparable or exceeding the capabilities of specialized tools

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Navigating through different depths

of the data lineage itself (from high/entity-level down to attribute level mapping including transformation)

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Easily understandable by business user

no technical knowledge necessary

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Serves as unique source of the metadata and documentation tool

(even post migration)

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Provides guided migration accelerator to the target data pipelines platform

Target platform agnostic migration accelerator

With strong capabilities related to Azure Data Factory data pipelines

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Automated harvesting of the metadata / transformation logic

from plentiful of legacy platforms

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Extensive and unique support also for hard-coded data pipelines

(PL/SQL, T-SQL) in order to cover also greenfield data applications development

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Eliminating human-error

through generalized and unified generation of the data pipelines in the target platform

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Ability to automatically harvest / extract and generate 80 – 90%

of legacy data application logic and functionality

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Our customers using Adele

See the value, which Adele is bringing for our customers.

Case study for O2 Slovak Republic and decluttering their MS SQL based DWH

Adele helped us to realize how much clutter we have in the current solution. We will benefit from the extracted metadata and save efforts required for keeping metadata up-to-date manually.”

Peter Nemedy
Head of Business Intelligence DWH
O2 Slovak Republic

Start your data migration now and easy