DATA LAKE MODERNIZATION
Modernize Your Data Lake with Qlik's Scalable Platform
Modernize your data lake with Qlik's platform that enables real-time access, automated pipelines, and governed data flows to drive better analytics and faster decisions.
How Qlik's data lake modernization platform works
Step 1 - Ingest Data From Legacy & Modern Sources
Step 2 - Transform And Align Data With Business Logic
Step 3 - Deliver Unified, Analytics-Ready Data In Real Time
Step 4 - Scale To Meet Cloud And Hybrid Workloads
Why choose Qlik for data lake modernization?
Enterprise-grade capabilities designed for data lake modernization
Centralized governance with complete data lineage
Maintain complete visibility and control over data assets with automated lineage tracking, metadata management, and governance frameworks that ensure trust and compliance.
Elastic scalability in cloud, hybrid, or on-prem environments
Deploy and scale across any infrastructure with unified management capabilities that support complex enterprise architectures and varying workload demands.
Visual, no-code pipelines for simplified operations
Enable data teams to build and manage complex data pipelines through intuitive visual interfaces without requiring extensive coding expertise.
Empowers analysts, engineers & IT alike
Provide technical teams with advanced capabilities while enabling business users to access and analyze data through self-service tools and governed interfaces.
Proven results across enterprise use cases
Join organizations that have successfully modernized their data lakes with measurable improvements in performance, cost reduction, and analytics capabilities.
Trusted by leading enterprises worldwide
We needed to consolidate data in one place, from heterogeneous sources, updated in almost real-time. That’s what Qlik enables for us.
Connect to 500+ data sources with Qlik’s analytics integrations
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
SAP
Adobe
IBM
AWS
MySQL
Jira
Azure
MS SQL
Apache
Mongo DB
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Oracle
Salesforce
Workday
Apache Iceberg
CircleCI
Zendesk
Snowflake
Databricks
OpenAI
Intuit
Resources to help you succeed with data lake modernization
Data lake modernization FAQs
Our platform enables phased modernization with parallel processing capabilities, allowing you to gradually migrate from legacy systems while maintaining business continuity and data availability throughout the transformation process.
Organizations typically see 3-10x faster query performance, 50% reduction in storage costs, and significant improvements in data processing speed through optimized formats, intelligent caching, and cloud-native architecture.
Our intelligent schema evolution capabilities automatically detect and adapt to changing data structures, maintaining backward compatibility while enabling new data formats and structures without breaking existing analytics workflows.
Yes, our platform provides native integration with popular analytics tools, BI platforms, and machine learning frameworks through standard APIs, connectors, and optimized data formats that ensure seamless compatibility.