DATA LAKE PLATFORM
Unify and Govern Your Data with Qlik's Data Lake Platform
Unify all your enterprise data with comprehensive data lake capabilities. Centralize storage, automate management, and deliver governed, analytics-ready data across your business.
Build a centralized, scalable, and analytics-ready data lake
Establish a unified data lake that consolidates structured, semi-structured, and unstructured data with automated governance and management that ensures data remains organized, accessible, and trustworthy.
Streamline data ingestion across cloud and on-premises sources
Ingest data from supported sources into your data lake with automated pipelines that handle diverse formats, schemas, and volumes while maintaining data integrity and quality.
Automate data transformation and preparation with Qlik
Transform raw data lake contents into analytics-ready datasets with automated processing that cleanses, enriches, and structures data without manual ETL development.
Ensure governance, lineage, and security across the data lifecycle
Maintain control over data lake assets with comprehensive governance that tracks lineage, enforces policies, protects sensitive information, and ensures compliance throughout the data lifecycle.
How does Qlik's data lake platform work?
Step 1 – Connect and consolidate data from supported sources
Step 2 – Clean, transform, and catalog data in real time
Step 3 – Enable AI, BI, and analytics tools for unified access
Step 4 – Automate delivery and insights across the enterprise
Why Qlik data lake platform?
Data lake governance that prevents swamps
Maintain data lake organization and trustworthiness with automated cataloging, quality monitoring, and lineage tracking that ensures data remains discoverable and usable over time.
Cloud-native architecture that grows with your needs
Scale storage and processing independently with cloud-native architecture that handles petabyte growth while maintaining consistent performance and cost efficiency.
Simplify data lake management and access
Enable engineers to manage data lake infrastructure while empowering business users to discover and access data through intuitive catalogs and self-service tools.
Connect with your analytics and AI tools
Integrate data lakes with BI platforms, machine learning systems, and analytics applications through standard interfaces that enable diverse consumption patterns.
Trusted for enterprise data lake management
Join organizations that centralized petabytes into governed data lakes with Qlik, enabling analytics, AI, and operational applications with unified, trusted data.
Key capabilities of Qlik's data lake solution
Automated data ingestion and real-time replication
Stream data into the lake continuously with change data capture and automated ingestion that maintains current information without manual batch loading processes.
Intelligent data cataloging and metadata management
Organize data lake contents automatically with AI-powered cataloging that classifies data, extracts metadata, and maintains searchable inventories for discovery.
Secure access control and role-based permissions
Protect data lake assets with fine-grained access controls that enforce permissions at file, directory, and data element levels based on user roles and data sensitivity.
Built-in data transformation and quality monitoring
Transform raw data lake contents into analytics-ready datasets with integrated processing that applies quality rules, standardizes formats, and enriches information.
Integration with BI, AI, and machine learning tools
Enable diverse analytics consumption from the data lake through connectors for Tableau, Power BI, Python, R, and machine learning platforms that access lake data directly.
Enterprise-grade security and compliance controls
Maintain regulatory compliance and data protection with encryption, audit logging, data masking, and policy enforcement that secure data lake contents comprehensively.
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
Data Lake Platform FAQs
Automated cataloging, quality monitoring, lineage tracking, and policy enforcement maintain organization and trustworthiness, preventing the chaos that typically creates unusable data swamps.
Yes, unified platform capabilities support both lake and warehouse patterns, enabling lakehouse architectures that combine the flexibility of lakes with the structure of warehouses.
Schema-on-read capabilities adapt to changing data structures while maintaining backward compatibility, with automated detection that alerts users to significant schema changes.
The platform supports Parquet, ORC, Avro, JSON, CSV, and other formats with format conversion capabilities that optimize storage and query performance based on access patterns.