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What is StreamScape?

Utilize Reactive Programming in back-end development without the complexity of specialized languages or intricate frameworks. By utilizing Triggers, Actors, and Event Collections, you can effortlessly create data pipelines and manage data streams using a user-friendly SQL-like syntax, which significantly alleviates the difficulties commonly faced in distributed system development. One of the most notable features is the Extensible Data Modeling capability, which provides detailed semantics and schema definitions that truly reflect real-world entities. Additionally, the system supports on-the-fly validation and data shaping rules that accommodate various formats such as XML and JSON, making it easy to define and adjust your schema to meet changing business requirements. If you can express it, our system has the means to query it. If you have experience with SQL and JavaScript, you are well-prepared to navigate the data engine effectively. Regardless of the format, a powerful query language facilitates immediate testing of logic expressions and functions, expediting development and simplifying deployment, which leads to remarkable data agility and adaptability in response to evolving situations. This level of flexibility not only boosts productivity across teams but also encourages a culture of innovation and creativity within the organization. Ultimately, the combination of these features creates an environment where teams can thrive and evolve continuously.

What is Qlik Compose?

Qlik Compose for Data Warehouses provides a modern approach that simplifies and improves the setup and management of data warehouses. This innovative tool automates warehouse design, generates ETL code, and implements updates rapidly, all while following recognized best practices and strong design principles. By leveraging Qlik Compose for Data Warehouses, organizations can significantly reduce the time, costs, and risks associated with business intelligence projects, regardless of whether they are hosted on-premises or in the cloud. Conversely, Qlik Compose for Data Lakes facilitates the creation of datasets ready for analytics by automating the processes involved in data pipelines. By managing data ingestion, schema configuration, and continuous updates, companies can realize a faster return on investment from their data lake assets, thereby strengthening their overall data strategy. Ultimately, these powerful tools enable organizations to efficiently harness their data potential, leading to improved decision-making and business outcomes. With the right implementation, they can transform how data is utilized across various sectors.

Media

Media

Integrations Supported

BLUE Software
Pantomath
QVANTUM

Integrations Supported

BLUE Software
Pantomath
QVANTUM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

StreamScape

Date Founded

2011

Company Location

United States

Company Website

www.streamscape.com/product/features

Company Facts

Organization Name

Qlik

Date Founded

1993

Company Location

United States

Company Website

www.qlik.com/us/products/qlik-compose-data-warehouses

Categories and Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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