Perfect fit with your current/future AI setup
AI isn’t just experiments and initiatives — it’s an entire ecosystem of files, scripts, and results. Wherever your investments, we’ve partnered with top sources to bring you integrations that save time, enable management, and validate quality.
Databricks
Accelerate ML, AI, and data science initiatives
Low-code/no-code data integration. Automate data pipelines and execute on-the-fly data transformations with support for the Databricks Unity Catalog.
Boost productivity and spend more time unlocking insights in the Databricks lakehouse environment.
Interactive product tour. See how you can set up an automated pipeline that delivers real-time data to Databricks.
Access to accurate, real-time data is delivering key improvements to the J.B. Hunt 360 platform. It can quickly produce new ML models and break down data silos to optimize solutions in real-time, thereby enabling the development of predictive analytics for shippers and carriers."
AWS
Close the gap between data and action
Unify complex data environments. Automate the delivery of real-time data into AWS data warehouses or data lakes, and make it easily accessible through a governed catalog.
Bring the Power of LLMs to Qlik Cloud Analytics™. Through our new integration with Amazon Bedrock, you can easily connect to foundational large language models (LLMs) including A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta.
Extend predictive modeling. Qlik offers seamless integration to Amazon Sagemaker's advanced machine learning capabilities to deliver real-time predictive calculations using AutoML™.
Live demo request. See Qlik Data Integration™ in action with AWS.
With Qlik Data Integration feeding our AWS environment with SAP, we are better positioned to unlock the value of our SAP data as part of our larger journey to being fully data-driven across the organizations."
Qlik Expands Customers’ Ability to Scale AI for Impact with AWS. Seamless integration with Amazon Bedrock makes it easier for AWS customers to leverage large language models with analytics for AI-driven insights.
Microsoft
Maximize your investment in Azure and AI
Simplify data ingestion from the start. Automate the movement of AI-ready data into Azure and Synapse, while supporting fine tuning of large language models (LLMs).
Enabling and Enhancing Microsoft Fabric with Qlik Cloud Data Integration™. Delivering the industry's widest array of diverse data sources, with transformation service directly to Fabric in real-time with low or no-code capabilities.
Azure OpenAI analytics connector. Enrich your Qlik Sense® apps with contextual and analytical depth from generative AI models.
Live demo request. See Qlik Data Integration in action with Microsoft Azure.
As we are rolling into this cloud environment using Qlik Data Integration, it’s all about the ability to use data to drive change through our organization. Qlik and Azure Synapse give us the tools to do that."
Interact with Insight Advisor, Qlik's intelligent AI assistant, to explore data using natural language directly in Microsoft Teams
What’s the difference between a data lake and a data warehouse?
This eBook looks at the differences between data lakes and data warehouses, the six key benefits of each, the top vendors offering them, and options for optimizing your experience with both.
Seamless partners for ensemble performance
Whatever your data setup, let's optimize it for AI.