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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 Alibaba Cloud Data Lake Formation?

A data lake acts as a comprehensive center for overseeing vast amounts of data and artificial intelligence tasks, facilitating the limitless storage of various data types, both structured and unstructured. Central to the framework of a cloud-native data lake is Data Lake Formation (DLF), which streamlines the establishment of such a lake in the cloud. DLF ensures smooth integration with a range of computing engines, allowing for effective centralized management of metadata and strong enterprise-level access controls. This system adeptly collects structured, semi-structured, and unstructured data, supporting extensive data storage options. Its architecture separates computing from storage, enabling cost-effective resource allocation as needed. As a result, this design improves data processing efficiency, allowing businesses to adapt swiftly to changing demands. Furthermore, DLF automatically detects and consolidates metadata from various engines, tackling the issues created by data silos and fostering a well-organized data ecosystem. The features that DLF offers ultimately enhance an organization's ability to utilize its data assets to their fullest potential, driving better decision-making and innovation. In this way, businesses can maintain a competitive edge in their respective markets.

Media

Media

Integrations Supported

APERIO DataWise
Amazon Web Services (AWS)
Azure Synapse Analytics
Clarity Security
Cloudera
DataHawk
DataMarket
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
Kleene
Microsoft Azure
ProjectVIEW ERP
Rayven
SQL Server
Snowflake
Timbr.ai
isorobot
jethro
mainsim

Integrations Supported

APERIO DataWise
Amazon Web Services (AWS)
Azure Synapse Analytics
Clarity Security
Cloudera
DataHawk
DataMarket
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Platform
Kleene
Microsoft Azure
ProjectVIEW ERP
Rayven
SQL Server
Snowflake
Timbr.ai
isorobot
jethro
mainsim

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

Alibaba Cloud

Date Founded

2008

Company Location

China

Company Website

www.alibabacloud.com/es/product/datalake-formation

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

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