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What is Qlik Staige?
Harness the power of Qlik® Staige™ to turn AI into a practical asset by building a dependable data infrastructure, implementing automation, generating useful predictions, and making a considerable difference throughout your organization. AI is not just about trials and projects; it constitutes a holistic ecosystem brimming with files, scripts, and results. No matter how you choose to direct your investments, we have partnered with top-tier providers to deliver integrations that boost efficiency, ease management, and guarantee quality. Optimize the process of providing real-time data to AWS data warehouses or data lakes, making it accessible via a meticulously managed catalog. Our recent alliance with Amazon Bedrock enables seamless integration with key large language models (LLMs) like A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. This effortless connection with Amazon Bedrock not only streamlines access for AWS users but also allows them to leverage large language models in conjunction with analytics, leading to meaningful, AI-enhanced insights. By embracing these innovations, businesses can fully realize the transformative potential of their data in unprecedented ways, ultimately driving growth and efficiency across various sectors. Moreover, this strategic approach positions organizations to stay ahead in an increasingly data-driven landscape.
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.
Integrations Supported
Amazon Comprehend
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
Apache Hive
Apache Spark
Azure Databricks
Azure Storage
Cohere
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
On-Prem
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Online Training
Training Options
Not specified
Company Facts
Organization Name
QlikTech
Company Website
staige.qlik.com
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
AI Governance
Not specified