Software Alternatives & Reviews

Streamscape VS Teradata QueryGrid

Compare Streamscape VS Teradata QueryGrid and see what are their differences

Streamscape logo Streamscape

Data Fabric

Teradata QueryGrid logo Teradata QueryGrid

Data Fabric
  • Streamscape Landing page
    Landing page //
    2020-08-05
  • Teradata QueryGrid Landing page
    Landing page //
    2023-08-20

Streamscape

Categories
  • Data Integration
  • Data Dashboard
  • AI Platform
  • Data Management Platform (DMP)
Website streamscapes.ie

Teradata QueryGrid

Categories
  • Data Integration
  • Data Dashboard
  • AI Platform
  • Data Management Platform (DMP)
Website downloads.teradata.com

Streamscape videos

The Streamscape Aquascape - 3 Month Update 5 Gallon Fluval Chi

More videos:

  • Review - Who Are These Kids? | OMORI Streamscape Part 1

Teradata QueryGrid videos

No Teradata QueryGrid videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Streamscape and Teradata QueryGrid)
Data Dashboard
31 31%
69% 69
Data Integration
30 30%
70% 70
AI Platform
32 32%
68% 68
Data Management Platform (DMP)

User comments

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What are some alternatives?

When comparing Streamscape and Teradata QueryGrid, you can also consider the following products

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

data.world - The social network for data people

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

Zetaris Platform - Data Fabric

Trustgrid Data Mesh Platform - A number of software providers have moved to Data Mesh connectivity solutions as they seek to lower the operating costs of their applications.

Cinchy - Developed for real-time data collaboration, Cinchy Dataware Platform addresses the root cause of data fragmentation and data silos, eliminates the cost and need for time-consuming data integration, and mitigates risks of data duplication.