WhereScape RED: Data Warehouse Automation
WhereScape RED helps data teams and IT organizations design and operate data warehouses with reduced manual coding. It is designed for organizations needing to manage cloud migrations or implement Data Vault 2.0 models.
At a glance
- Category
- Data & Analytics
- Best for
- Mid-market companies, Enterprise companies, Data teams, IT organizations in regulated industries
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Cloud Data Migration, Data Vault 2.0 Implementation, Big Data Integration, Data Infrastructure Governance
- Integrations
- Snowflake, Databricks, Microsoft Fabric, SQL Server, Oracle
- Official website
- www.wherescape.com
WhereScape RED is an automation platform designed to help IT organizations manage the lifecycle of their data infrastructure. It supports a metadata-driven approach to generate code automatically, which may reduce the amount of manual SQL or script writing required to build data warehouses.
The tool is intended for data teams and IT organizations, including those in sectors like healthcare, financial services, and education. It supports several target platforms, including Snowflake, Databricks, and Microsoft Fabric, allowing teams to maintain portable designs.
In addition to code generation, the software supports orchestration and documentation. It can automatically generate technical documentation and track data lineage to assist with auditing and compliance. It also supports CI/CD pipelines to manage how changes are promoted from development to production.
Buyers should confirm how the developer-based pricing model aligns with their team size and whether their specific source systems are compatible via native drivers or ODBC/JDBC connectors.
Key Features
Generates platform-optimized ELT code based on metadata to reduce manual scripting.
Uses a central repository of metadata to drive the design and deployment of data warehouses.
Creates and updates technical and user documentation automatically to support audits.
Provides visibility into data flow from source to target at the table and column level.
Supports DevOps workflows by integrating with tools such as GitHub, Azure DevOps, and Jenkins.
Compatible with various environments including Snowflake, Databricks, Oracle, and SQL Server.
Use Cases
Supports the move from on-premises systems to cloud platforms by automating mapping and code generation.
Supports the creation of hubs, links, and satellites using pre-built templates.
Integrates structured and semi-structured data sources into a governed environment.
Maintains lineage and documentation to support regulatory compliance and auditing.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It supports the generation of ELT code, the creation of technical documentation, and the orchestration of data pipelines using a metadata-driven approach.
It supports a variety of platforms, including Snowflake, Databricks, Microsoft Fabric, SQL Server, Oracle, Azure Synapse, BigQuery, and Amazon Redshift.
No, it is self-hosting and can be deployed on-premises or within a virtual private cloud (VPC) to help meet security and compliance requirements.
WhereScape uses a developer-based pricing model; buyers should contact the vendor for specific quotes.
Source category: Data & Analytics
Source subcategory: Data Integration
