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What is Qlik Data Integration?

The Qlik Data Integration platform, tailored for managed data lakes, simplifies the provision of consistently updated, reliable, and trustworthy data sets essential for business analytics. Data engineers benefit from the adaptability to quickly integrate new data sources, ensuring effective oversight throughout each phase of the data lake pipeline, which encompasses real-time data ingestion, refinement, provisioning, and governance. This platform serves as a user-friendly and all-encompassing solution for the continuous ingestion of enterprise data into popular data lakes in real-time. By utilizing a model-driven approach, it supports the swift design, construction, and administration of data lakes, whether they are hosted on-premises or in the cloud. Additionally, it features an advanced enterprise-scale data catalog that allows for secure sharing of all derived data sets with business users, significantly enhancing collaboration and facilitating data-driven decision-making within the organization. This holistic strategy not only streamlines data management processes but also empowers users by ensuring that valuable insights are easily accessible, ultimately fostering a more informed workforce. The integration of user-friendly tools further encourages engagement and innovation in leveraging data for strategic objectives.

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

Rayven
APERIO DataWise
Amazon Redshift
Amazon Web Services (AWS)
BLUE Software
Clarity Security
Cloudera
DataHawk
DataMarket
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
InfoDesk
Kleene
Microsoft Azure
ProjectVIEW ERP
QVANTUM
SQL Server
Timbr.ai
isorobot

Integrations Supported

Rayven
APERIO DataWise
Amazon Redshift
Amazon Web Services (AWS)
BLUE Software
Clarity Security
Cloudera
DataHawk
DataMarket
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
InfoDesk
Kleene
Microsoft Azure
ProjectVIEW ERP
QVANTUM
SQL Server
Timbr.ai
isorobot

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

Qlik

Date Founded

1993

Company Location

United States

Company Website

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

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 Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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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