Agile Data Engine

4.5 (2)
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About Agile Data Engine

Agile Data Engine is a dataOps management platform that helps businesses unlock data value. It enables users to streamline cloud data warehouse development processes using CI/CD pipelines.

Administrators can utilize the platform to design, deploy, operate, and manage data products and data warehouses throughout lifecycles. It offers features for data modeling, transformations, continuous delivery, and workload orchestration on a unified platform. Users can monitor and perform dynamic data workflows (DAGs) troubleshooting and generate SQL, DDL, DML scripts as well as customized metadata reports.

It offers application programming interface (API) connectivity that enables businesses to integrate the platform with existing systems, data catalogs, or other tools.


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Ease of Use

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Value for Money

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Reviews

Overall rating

4.5 /5
(2)
Value for Money
4/5
Features
4/5
Ease of Use
4/5
Customer Support
5/5

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Showing 2 reviews of 2
Markus
Overall rating
  • Industry: Logistics & Supply Chain
  • Company size: 201–500 Employees
  • Used Daily for 2+ years
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support
  • Likelihood to recommend 10.0 /10

Agile Data Engine - easy to use with endless possibilities

Reviewed on 7/12/2023

ADE gives us the possibility to do actual development with quite a small team. It never "gets it...

ADE gives us the possibility to do actual development with quite a small team. It never "gets it the way" and also seems to minimize time spend on maintenance. ADE has been really reliable and does make it easier to follow best practices by using well made templates and with good documentation and community tips.

Pros

ADE is easy to to start using, but at the same time offers so many possibilities for customization. It's quite plausible to only use GUI and be happy with the default options, but by reading the documentation and ADEs generated SQL and then using the different load options like RUN IDs and TIMESLOT you can tune up the performance of your data ops. Also ADE is not a "black box" - you can from the logs and code previews check exactly what your loads are doing, you will be able to pinpoint any problems.

Cons

Run ID manipulation is only possible with External API. It's often needed if adding new loads from older entities since run ids are saved only for about a month.

Also when entity and package counts rise, it can be hard to keep track of intertwined relationships between the entities, packages and load schedules. For example you introduce a new load from a new source to an pre-existing link entity and suddenly the subsequent loads are ran in multiple DAGs (schedules).

Ville
Overall rating
  • Industry: Retail
  • Company size: 1,001–5,000 Employees
  • Used Daily for 2+ years
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support
  • Likelihood to recommend 10.0 /10

When in doubt, Agile Data Engine helps you forward

Reviewed on 13/11/2023

I don't understand how we could have achieved this kind of speed in our multi-team without Agile...

I don't understand how we could have achieved this kind of speed in our multi-team without Agile Data Engine. We have moved the most complex and critical tailor made python/aws/lambda applications to ADE and the 50% of time -maintenance has gone to near zero % of my time.

Pros

With ADE implementation project and leveraging ADE-team's suggested practises, you'll get the data platform architecture you have always wanted. The core capabilities and features, like trunk based development, deployment management and load orchestration frees teams capacity from jacking the code to implementing solutions faster to production.

Cons

The notification framework in this context is quite unique and it needs attention and cloud skills right in the beginning. The notifier lambda (in AWS) function is the most critical single component in the architecture and would have massive impact if failed. The SPOF factor is quite high for this. But when the solution is in place and working, you can forget it mostly.

Agile Data Engine FAQs

Below are some frequently asked questions for Agile Data Engine.

Agile Data Engine has the following typical customers:

201–500, 501–1,000, 1,001–5,000

Agile Data Engine supports the following languages:

English

Agile Data Engine supports the following devices:

We do not have any information about what integrations Agile Data Engine has

Agile Data Engine offers the following support options:

Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support, Chat

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