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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.

What is ELCA Smart Data Lake Builder?

Conventional Data Lakes often reduce their function to being budget-friendly repositories for raw data, neglecting vital aspects like data transformation, quality control, and security measures. As a result, data scientists frequently spend up to 80% of their time on tasks related to data acquisition, understanding, and cleaning, which hampers their efficiency in utilizing their core competencies. Additionally, the development of traditional Data Lakes is typically carried out in isolation by various teams, each employing diverse standards and tools, making it challenging to implement unified analytical strategies. In contrast, Smart Data Lakes tackle these issues by providing comprehensive architectural and methodological structures, along with a powerful toolkit aimed at establishing a high-quality data framework. Central to any modern analytics ecosystem, Smart Data Lakes ensure smooth integration with widely used Data Science tools and open-source platforms, including those relevant for artificial intelligence and machine learning. Their economical and scalable storage options support various data types, including unstructured data and complex data models, thereby boosting overall analytical performance. This flexibility not only optimizes operations but also promotes collaboration among different teams, ultimately enhancing the organization's capacity for informed decision-making while ensuring that data remains accessible and secure. Moreover, by incorporating advanced features and methodologies, Smart Data Lakes can help organizations stay agile in an ever-evolving data landscape.

Media

Media

Integrations Supported

BLUE Software
EZConvertBI
Pantomath
QVANTUM
Rayven
Tenant

Integrations Supported

Amazon S3
Apache Kafka
Apache Spark
Hadoop
Java
Python
SQL
Scala

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Qlik

Date Founded

1993

Company Location

United States

Company Website

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

Company Facts

Organization Name

ELCA Group

Date Founded

1968

Company Location

Switzerland

Company Website

www.elca.ch/en/smart-data-lake-builder-efficient-way-lay-foundations-smarter-data-lake

Categories and Features

Data Lake

Not specified

Data Pipeline

Not specified

Data Warehouse

Analytics
Data Integration

Categories and Features

Data Lake

Not specified

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