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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Qlik Compose for Data Warehouses offers a contemporary solution that streamlines and enhances the process of establishing and managing data warehouses. This tool not only automates the design of the warehouse but also generates ETL code and implements updates swiftly, all while adhering to established best practices and reliable design frameworks. By utilizing Qlik Compose for Data Warehouses, organizations can significantly cut down on the time, expense, and risk associated with BI initiatives, regardless of whether they are deployed on-premises or in the cloud. On the other hand, Qlik Compose for Data Lakes simplifies the creation of analytics-ready datasets by automating data pipeline processes. By handling data ingestion, schema setup, and ongoing updates, companies can achieve a quicker return on investment from their data lake resources, further enhancing their data strategy. Ultimately, these tools empower organizations to maximize their data potential efficiently.

Description

The Qlik Data Integration platform designed for managed data lakes streamlines the delivery of consistently updated, reliable, and trusted data sets for business analytics purposes. Data engineers enjoy the flexibility to swiftly incorporate new data sources, ensuring effective management at every stage of the data lake pipeline, which includes real-time data ingestion, refinement, provisioning, and governance. It serves as an intuitive and comprehensive solution for the ongoing ingestion of enterprise data into widely-used data lakes in real-time. Employing a model-driven strategy, it facilitates the rapid design, construction, and management of data lakes, whether on-premises or in the cloud. Furthermore, it provides a sophisticated enterprise-scale data catalog that enables secure sharing of all derived data sets with business users, thereby enhancing collaboration and data-driven decision-making across the organization. This comprehensive approach not only optimizes data management but also empowers users by making valuable insights readily accessible.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Rayven Yes 
APERIO DataWise No 
Amazon Redshift No 
Amazon Web Services (AWS) No 
Clarity Security No 
Cloudera No 
DataHawk No 
Databricks No 
EZConvertBI Yes 
Google Cloud BigQuery No 
Kleene No 
Microsoft Azure No 
Nimway No 
ProjectVIEW ERP No 
QVANTUM Yes 
R Systems No 
SQL Server No 
Shapelets No 
Timbr.ai No 
mainsim No 

Integrations

Rayven Yes 
APERIO DataWise Yes 
Amazon Redshift Yes 
Amazon Web Services (AWS) Yes 
Clarity Security Yes 
Cloudera Yes 
DataHawk Yes 
Databricks Yes 
EZConvertBI No 
Google Cloud BigQuery Yes 
Kleene Yes 
Microsoft Azure Yes 
Nimway Yes 
ProjectVIEW ERP Yes 
QVANTUM No 
R Systems Yes 
SQL Server Yes 
Shapelets Yes 
Timbr.ai Yes 
mainsim Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Qlik

Founded

1993

Country

United States

Website

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

Vendor Details

Company Name

Qlik

Founded

1993

Country

United States

Website

www.qlik.com/us/products/qlik-talend-data-integration-and-quality

Product Features

Data Warehouse

Ad hoc Query No 
Analytics Yes 
Data Integration Yes 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Integration

Dashboard No 
ETL - Extract / Transform / Load No 
Metadata Management No 
Multiple Data Sources No 
Web Services No 

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