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Customer Satisfaction
4.6/10
4.6
User Experience
7.9/10
7.9
Functionality
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5.7/10
5.7

Idera Wherescape

What is Idera Wherescape?

Data warehouse automation tool to support the development and operation of data warehouses, also supports cloud DWH such as Snowflake.

Data Management & Storage
– Databases & Access Engines
– Data Intelligence, Data Catalogs and Marketplaces
– Data Operations
● Data Pipelining and Data Quality

= covered

About Idera Wherescape

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Idera Wherescape User Reviews & Experiences

The information contained in this section is based on user feedback and actual experience with Idera Wherescape.

The information and figures are largely drawn from BARC’s The BI & Analytics Survey, The Planning Survey, The Financial Consolidation Survey and The Data Management Survey. You can find out more about these surveys by clicking on the relevant links.

Who uses Idera Wherescape in a data management context and how

Why users buy Idera Wherescape and what problems they have using it

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Full user reviews and KPI results for Idera Wherescape

All key figures for Idera Wherescape at a glance.

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Individual user reviews for Idera Wherescape

Role
Consultant
Number of employees
100 - 2.500
Industry
Retail
Source
BARC Marketing, The Data Management Survey 25, 03/2024
What do you like best?

Die Mischung aus Standardisierung und gleichzeitiger Flexibilität, weil es möglich ist, die Code-Generierung an die eigenen Bedürfnisse anzupassen. Das gilt auch für die Benutzeroberfläche, welche mittels eigenen Action Scripts an eigene Bedürfnisse angepasst werden kann.

What do you like least/what could be improved?

-

What key advice would you give to other companies looking to introduce/use the product?

WhereScape ersetzt nicht das Vorhandensein von entsprechendem DWH- bzw. Modellierungswissen, um ein DWH sauber aufzubauen.

How would you sum up your experience?

WhereScape lässt sich rasch erlernen, wenn man selbst das nötige Wissen rund um DWH-Entwicklung und Datenmodellierung mitbringt. WhereScape braucht auch eine Grundkonfiguration hinsichtlich der einzusetzenden Design Patterns etc. Wenn dies sauber durchgeführt ist, kann ich im Anschluss sehr rasch end-to-end Inkremente entwickeln, d.h. ein Inkrement von den Quelldaten bis zum Outputlayer des DWHs, z.B. in Form einer Fakten- oder Dimensionstabelle.

Role
Data Architect
Number of employees
100 - 2.500
Industry
Telecommunications
Source
Invited by the vendor, The Data Management Survey 25, 03/2024
What do you like best?

Automation of tasks. Consistency of generated code. Including automated generation of lineage and documentation. Maintainability of the 'code' base. Metadata as the start of everything. Good in metadata management and integration. Openness of repository data model. Plain SQL output. Possibility of migration to new targets. Integrated view of Warehouse development. Support for short cyclical work (Agile BI). Productivity gains. Database integrations /connectors. Extendability, easy to extend the product with your own written connectors, in almost any language. Wide and versatile out-of-the-box support for multiple data formats, also extensible. Version management (I like that it's there; I also think it can be simplified). Support is very good.

What do you like least/what could be improved?

Interface is a fat client with a large dependency on Windows. Deployment automation is very very good, but requires manual interaction. devOps deployment support is getting better in small steps only. Still needs considerable effort. Lineage stops at the warehouse, which also has to do with the limitations of opening up information due to license model. Support is very good, development tickets are open very long

What key advice would you give to other companies looking to introduce/use the product?

It's expensive, but worth the money. It's also useful for smaller companies. Come and have a look.

How would you sum up your experience?

Very good

Role
Chief data officer
Number of employees
100 - 2.500
Industry
Banking and finance
Source
Invited by the vendor, The Data Management Survey 25, 04/2024
What do you like best?

Use it in scheduling of our jobs. It works well for that.

What do you like least/what could be improved?

Our predecessors had set it up on a virtual machine with limited capacity. I am guessing they were trying to save money on the license, but the end result, it that Wherescape is a bottleneck for our throughput.

What key advice would you give to other companies looking to introduce/use the product?

Look at Fivetran and DBT as well as Wherescape.

How would you sum up your experience?

The datavault 2.0 methodology is really great for a large enterprise. Probably overkill for a small credit union. We don't need 9 layers of data mapping. We don't have a team of 25 data engineers, etc.

Role
Data engineer/Data manager
Number of employees
100 - 2.500
Industry
Public sector
Source
Invited by the vendor, The Data Management Survey 25, 04/2024
What do you like best?

The data modeling and ETL process is so easy, even a user can build the ETL process with the application.

What do you like least/what could be improved?

Need more in detail information on the errors and warning in the job report status.

What key advice would you give to other companies looking to introduce/use the product?

I would recommend to use the application as it compatible with other applications and also performance wise it's way faster than regular SQL Server applications. Best part the person using the application doesn't need to know in depth knowledge on ETL applications and building Data Model and doing date profiling is very easy if you know your organization and data.

How would you sum up your experience?

Best application I ever encountered for ETL and data modeling.

Role
IT employee
Number of employees
100 - 2.500
Industry
Banking and finance
Source
Invited by the vendor, The Data Management Survey 25, 04/2024
What do you like best?

Automation of the ETL process.

What do you like least/what could be improved?

Part of software functionalities not meet our requirements (version control and scheduler).

What key advice would you give to other companies looking to introduce/use the product?

Start-of with a Proof of Concept with your source in your environment.

How would you sum up your experience?

Good.

Survey Information
Number of reviews for Idera Wherescape
21
Reviewed versions
57 percent version 8, 24 percent version 10, 19 percent version 9
Peer groups in the survey
Data Product Engineering, Data Product Engineering (Big Players), Data Warehouse Automation
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