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Agile Data Engine

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Overview
Agile Data Engine

Agile Data Engine 2026: Benefits, Features & Pricing

On this page
  • Overview
  • User Interface
  • Popular Alternatives
  • Pricing and Plans
  • Features
  • User Reviews

Overview

Agile Data Engine
Agile Data Engine
4.5
(2)

Pricing

Pricing available upon request

About Agile Data Engine

Agile Data Engine is a cloud-based solution that incorporates the core features of several software products to enable continuous data product delivery. The tool offers features that allow users to design, deploy, and monitor data products, including data modeling, continuous deployment, workflow orchestration, monitoring and testing, and application programming interface (API) connectivity.

Its data entity and transformation design capabilities allow users to create logical data entities, define transformation workflows, and configure automated governance and development processes. Agile Data Engine's continuous deployment feature provides a continuous delivery system (CICD) with integrated pipelines that accommodate automatic schema changes and multi-database support to help users generate SQL DDL and DML scripts for different cloud database platforms. Additionally, its configurable entity table view types and templates enable users to manage data entities and dependencies in a more streamlined and efficient manner.

With its API connectivity, users can interface metadata for operationalization and integration with existing customer-specific processes. Similarly, with its metada...

ta interfacing, users can integrate Agile Data Engine workflows with specific processes.

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Agile Data Engine User Interface

0
0
1
2
3
4

Agile Data Engine Pricing and Plans

Free Trial
Free Version
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Agile Data Engine Features

  • Popular features found in Data Warehouse
    Data Capture and Transfer
    Data Connectors
    Data Extraction
    Data Integration
    Data Migration
    Data Quality Control
    ETL - Extract Transfer Load
    In-Database Processing
    Multiple Data Sources
    Reporting/Analytics
  • More features of Agile Data Engine
    Access Controls/Permissions
    Activity Dashboard
    Activity Tracking
    Alerts/Escalation
    Alerts/Notifications
    API
    Audit Trail
    Customer Database
    Database Support
    Data Mapping
    Data Security
    Data Storage Management
    Data Transformation
    Data Warehousing
    High Volume Processing
    Job Scheduling
    Match & Merge
    Metadata Management
    Monitoring
    No-Code
    Non-Relational Transformations
    Parallel Processing
    Performance Management
    Performance Metrics
    Real-Time Analytics
    Real-Time Data
    Real-Time Monitoring
    Real-Time Reporting
    Single Sign On
    SSL Security
    Task Scheduling
    Templates
    Third-Party Integrations
    Version Control
    Workflow Management

Agile Data Engine User Reviews

Overall Rating

4.5

Ratings Breakdown

5

50%

4

50%

3

0%

2

0%

1

0%

Secondary Ratings

Ease of Use

4.0

Value for money

4.0

Customer support

5.0

Functionality

4.0

Have you used Agile Data Engine and would like to share your experience with others?

VP
Ville P.

Verified reviewer

Retail

1001-5000 employees

Used daily for more than 2 years

Reviewed November 2023

When in doubt, Agile Data Engine helps you forward

4

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.

Ratings Breakdown

4
Ease of use
5
Value for money
5
Customer support
4
Functionality
icon
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.

Reasons for switching to Agile Data Engine

Not getting anything new to production under 1 year of wait. Mega license costs.

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MF
Markus F.

Verified reviewer

Logistics and Supply Chain

201-500 employees

Used daily for more than 2 years

Reviewed December 2023

Agile Data Engine - easy to use with endless possibilities

5

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.

Ratings Breakdown

4
Ease of use
3
Value for money
5
Customer support
4
Functionality
icon
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).

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Showing 1 - 2 of 2 Reviews

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