DATA LAKE SOLUTIONS
Modernize and Unify Your Data with Qlik's Scalable Data Lake Solutions
Build scalable, secure, and real-time data lakes that unify structured and unstructured data for analytics-ready pipelines and AI-powered insights across your enterprise.
Empower analytics and AI with real-time, unified data lakes
Transform your data architecture with modern data lake solutions that support both current analytics needs and future AI initiatives.
Consolidate structured and unstructured data seamlessly
Unify data from databases, files, streams, and applications into a single, governed data lake that maintains data quality and accessibility for all users.
Enable analytics-ready pipelines at scale
Build automated data pipelines that transform raw data into analytics-ready formats while maintaining lineage, governance, and quality controls.
Reduce latency with real-time data ingestion and delivery
Process streaming data and batch loads simultaneously with real-time capabilities that ensure your data lake stays current with business operations.
How do Qlik's data lake solutions work?
Step 1 - Connect and ingest data from all enterprise systems, including databases, applications, and streaming sources
Step 2 - Transform and organize data into lake-friendly formats with automated schema evolution and format conversion
Step 3 - Enable streaming and batch loads in real time with continuous data capture and processing capabilities
Step 4 - Deliver clean, trusted data to analytics and AI tools through governed access and self-service capabilities
Why choose Qlik for your data lake strategy?
With Qlik, you get enterprise-grade governance, AI-augmented insights, and the flexibility to solve real-world business challenges your way.
End-to-end governance and metadata management
Maintain complete control over data quality, lineage, and access with comprehensive governance frameworks that ensure trust and compliance.
Seamless integration with cloud providers and storage layers
Deploy across AWS, Azure, Google Cloud, and on-premises infrastructure with native integration to popular storage formats and services.
Real-time pipelines and change data capture
Implement continuous data ingestion with change data capture, streaming support, and real-time processing that keeps your data lake current.
Built for data Engineers, architects, and IT leaders
Provide technical teams with advanced capabilities for complex data lake implementations while enabling self-service access for business users.
Trusted by enterprises across industries for scalable data lakes
Join organizations that have successfully implemented enterprise-scale data lakes with proven scalability, performance, and reliability.
Key capabilities of Qlik's data lake solutions
Qlik’s Business Data Analytics software empowers users at every level to make smarter decisions with governed, high-quality data they can trust. Built for scale, Qlik works seamlessly across departments, regions, and hybrid cloud environments.
Continuous data ingestion from hybrid sources
Ingest data continuously from on-premises, cloud, and hybrid sources with automated discovery and connectivity management.
Schema evolution and format conversion (e.g., Parquet, Avro)
Handle evolving data schemas automatically while converting to optimized formats for analytics and machine learning workloads.
Streaming support with Kafka and change data capture
Process real-time data streams and capture database changes with enterprise-grade streaming capabilities and event processing.
Data governance, lineage, and catalog integration
Maintain complete data governance with automated lineage tracking, metadata management, and integrated data catalog capabilities.
Self-service access to data lake zones
Enable business users to access curated data zones while maintaining security controls and data quality standards.
Enterprise-grade security and compliance
Implement comprehensive security controls, encryption, and compliance frameworks that meet regulatory requirements across industries.
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 data lake
Data lake solutions FAQs
Our platform automatically detects and adapts to schema changes while supporting multiple data formats including Parquet, Avro, JSON, and CSV, with intelligent format conversion and optimization.
We provide native integration with AWS S3, Azure Data Lake Storage, Google Cloud Storage, and on-premises storage systems, with optimized connectors for each platform.
Our solution implements comprehensive data quality monitoring, automated lineage tracking, metadata management, and governance frameworks that maintain trust throughout the data lake.
Yes, our unified platform supports both streaming data ingestion with change data capture and traditional batch processing, enabling hybrid data lake architectures.