BIG DATA ANALYTICS SOLUTION
Deliver Faster, Smarter Decisions with Qlik's Big Data Analytics Platform
Analyze and act on massive datasets with comprehensive big data analytics. Transform raw data into clear insights to power faster, smarter business decisions at unprecedented scale.
Power every decision with scalable analytics for massive data
Extract maximum value from petabytes of data with enterprise analytics that combines interactive exploration, AI-powered insights, and predictive capabilities designed for big data scale.
Accelerate insight generation across teams and functions
Enable every user to analyze massive datasets through intuitive interfaces that hide complexity while leveraging distributed computing to deliver interactive performance at scale.
Automate reporting and deliver business-ready insights at scale
Generate automated insights, predictions, and alerts from big data without manual analysis, using AI that identifies patterns and anomalies across billions of records.
Support strategic decision-making with trusted, governed data
Ensure analytics accuracy and compliance with integrated governance that maintains data lineage, enforces policies, and tracks quality across massive big data environments.
How does Qlik's big data analytics platform work?
Step 1 – Connect and ingest data from any big data source
Step 2 – Cleanse, transform, and analyze data
Step 3 – Generate predictive, visual, and natural language insights
Step 4 – Automate actions and share insights across the business
Why Qlik for big data analytics?
With Qlik, you get enterprise-grade governance, AI-augmented insights, and the flexibility to solve real-world business challenges your way.
Trust in every interaction
Ensure strict adherence to GDPR and CCPA with automated consent management and data governance policies.
Unified customer view
Empower regional teams with localized insights while maintaining a global view of customer health and trends.
Insights for every role
Enable marketers, sales leaders, and support agents to explore customer data without needing SQL skills.
Key capabilities of Qlik's big data analytics platform
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.
Analytics and automated insights
Intelligent forecasting and predictive modeling
Build and deploy predictive models that operate on massive datasets using integrated machine learning that handles big data scale without requiring data science expertise.
Natural language queries and AI-generated insights
Ask questions in plain English and receive answers instantly, with AI that understands context, generates appropriate visualizations, and explains findings in business language.
Visual data discovery with augmented analytics
Explore big data visually through interactive dashboards enhanced with AI suggestions that guide analysis, highlight anomalies, and recommend relevant dimensions and measures.
Self-service dashboards and collaboration tools
Enterprise-grade governance and security
Protect big data assets with comprehensive security including row-level access controls, encryption, and audit logging while maintaining the performance required for interactive analytics.
Trusted by leading enterprises worldwide
What our customers say
We started an automation process with Qlik and now we only have half the people managing reports. The other half is doing activities allowing us to leapfrog the competition by providing even more proactive analytics vs. reactive.
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
Big data analytics FAQs
In-memory processing, intelligent caching, query optimization, and distributed computing work together to deliver interactive analytics performance even when analyzing billions of records.
Yes, natural language queries, automated insights, and visual exploration enable business users to analyze big data without SQL knowledge or technical training.
Native connectors leverage capabilities of Hadoop, Spark, and cloud platforms while query pushdown optimizes performance by executing processing close to data storage.
The platform supports descriptive analytics, diagnostic analysis, predictive modeling, and prescriptive recommendations through integrated capabilities that operate at big data scale.