DATA WAREHOUSE MODERNIZATION
Modernize Your Data Warehouse for Analytics with Qlik
Modernize your legacy data warehouse with Qlik's platform that accelerates data migration, enables analytics, and provides governance with a future-ready, cloud-optimized platform.
Transform legacy warehouses into scalable,
cloud-optimized engines
Modernize traditional data warehouse architecture with cloud-native capabilities that deliver faster performance, lower costs, and enhanced analytics capabilities.
Migrate from legacy systems without disruption
Execute seamless migration from legacy data warehouses to modern cloud architectures while maintaining business continuity and data availability.
Unify on-prem and cloud data into a modern architecture
Integrate disparate on-premises and cloud data sources into a unified, modern data warehouse architecture that eliminates silos and improves accessibility.
Deliver governed, analytics-ready data across the enterprise
Ensure data quality, governance, and compliance throughout the modernization process while enabling self-service analytics for business users.
How does Qlik's data warehouse modernization solution work?
Step 1 - Connect to legacy, On-Prem, and cloud data sources
Step 2 - Clean, transform, and align data structures
Step 3 - Enable replication and synchronization
Step 4 - Deliver modernized data to BI, AI, and ML systems
Why choose Qlik for data warehouse modernization?
Enterprise-grade capabilities designed for warehouse modernization
Built-in governance, lineage, and compliance tools
Maintain comprehensive governance throughout modernization with automated lineage tracking, compliance monitoring, and governance frameworks that ensure trust and regulatory adherence.
Support for multi-cloud, hybrid, and on-prem environments
Deploy across any infrastructure with unified management capabilities that support complex enterprise architectures and enable flexible modernization approaches.
Low-code automation for IT and data teams
Accelerate modernization projects with visual, low-code tools that enable both technical and non-technical teams to participate in warehouse transformation efforts.
Accelerate modernization without downtime
Execute warehouse modernization with parallel processing and gradual migration capabilities that maintain business operations throughout the transformation process.
Proven enterprise success across industries
Join organizations across multiple industries that have successfully modernized their data warehouses with measurable improvements in performance, cost, and capabilities.
Key capabilities of Qlik's data warehouse
modernization platform
Comprehensive modernization capabilities for enterprise data warehouses
Change data capture and replication
Migrate data continuously with change data capture and replication capabilities that ensure modernized warehouses stay synchronized with source systems.
Schema mapping and data model reconciliation
Automate complex schema transformations and data model alignment with intelligent mapping tools that handle diverse legacy formats and structures.
Seamless cloud migration and multi-warehouse support
Migrate to leading cloud data warehouses including Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse with optimized performance and compatibility.
AI-driven workflows and automated ETL pipelines
Leverage AI-powered automation for ETL pipeline creation, data transformation, and workflow optimization that reduces manual effort and accelerates modernization.
Self-service dashboards and collaboration tools
Enable business users to access modernized data through intuitive dashboards and collaborative analytics tools that improve adoption and business value.
Enterprise-grade security and role-based access
Implement comprehensive security controls, encryption, and role-based access management that ensures data protection throughout the modernization process.
Trusted by leading enterprises worldwide
What our customers say
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 modern data platforms
Data warehouse modernization FAQs
Our platform enables parallel processing with gradual cutover capabilities, allowing legacy systems to remain operational while modern infrastructure is built and tested, ensuring business continuity throughout the transition.
We provide native integration and optimization for all major cloud data warehouses including Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, and Databricks, plus support for hybrid architectures.
Our intelligent schema mapping and data model reconciliation tools automatically analyze legacy structures and generate optimized modern schemas while preserving data relationships and business logic.
Organizations typically experience 5-50x faster query performance, 30-70% reduction in infrastructure costs, and significant improvements in scalability and concurrent user support with modern cloud-native architectures.