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WhereScape Software

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44 reviews
  • 3 profiles
  • 5 categories
Average star rating
3.9
Serving customers since
2001

Profile Name

Star Rating

20
16
4
2
2

WhereScape Software Reviews

Review Filters
Profile Name
Star Rating
20
16
4
2
2
Verified User in Financial Services
UF
Verified User in Financial Services
02/28/2024
Validated Reviewer
Verified Current User
Review source: G2 invite on behalf of seller
Incentivized Review

Tool has some limitations

Automated template generation saves a lot of time.
Nikki H.
NH
Nikki H.
Data and Application Integration Analyst at Edmonton Police Service, City of Edmonton
02/26/2024
Validated Reviewer
Verified Current User
Review source: G2 invite on behalf of seller
Incentivized Review

WhereScape RED in data integration and transformation

automation in data integration, transformation and support.
Luqman Kajee H.
LH
Luqman Kajee H.
Senior Data Engineer at Sanlam
02/26/2024
Validated Reviewer
Verified Current User
Review source: G2 invite on behalf of seller
Incentivized Review

Powerful template driven code generator

WhereScape RED does well in scenarios where implemented in a Raw Data Vault construct. It does very well where scripts and structures are repeatable. I use the tool daily as part of my job function. Using the pebble templates was a steep learning curve, but once I figured that out the implementation and integration aspects became simple. When coupled with 3D it functions extremely well.

About

Contact

HQ Location:
Houston, Texas

Social

@wherescape

What is WhereScape Software?

WhereScape Software is a company that specializes in automation solutions for data infrastructure development. It provides software tools designed to streamline the design, development, deployment, and operation of data warehouses, data lakes, and other data infrastructure. WhereScape's products help organizations accelerate the creation and management of their data environments by automating repetitive tasks and reducing the complexity of data projects. This allows businesses to implement and adapt their data infrastructure more efficiently and effectively.

Details

Year Founded
2001