BIG DATA PLATFORM
Harness the Power of Enterprise Data with Qlik's Big Data Platform
Unlock the full potential of your enterprise data with comprehensive big data capabilities. Connect, analyze, and act on massive datasets with trusted, AI-driven insights at scale.
Transform complex data into actionable insights at scale
Process and analyze massive datasets across distributed systems with enterprise-grade big data capabilities that combine high-performance processing, advanced analytics, and AI to extract maximum value.
Ingest and process massive datasets seamlessly
Handle petabytes of structured, semi-structured, and unstructured data with distributed processing that maintains query performance even as data volumes grow exponentially.
Integrate cloud, on-premises, and hybrid data sources effortlessly
Connect to data wherever it resides—across public clouds, private data centers, data lakes, and legacy systems—with unified processing that eliminates data silos and fragmentation.
Deliver AI-ready data for analytics and decisions
Prepare and serve big data for advanced analytics, machine learning, and business intelligence with automated quality controls and governance that ensure trustworthy insights.
How does Qlik's big data platform work?
Step 1 - Connect to structured and unstructured data sources
Step 2 - Clean, enrich, and unify data for analytics
Step 3 - Analyze and visualize big data
Step 4 - Automate data delivery to AI, BI, and cloud applications
Why Qlik big data platform?
Consistent governance for distributed big data
Apply data quality rules, access policies, and compliance controls uniformly across Hadoop, Spark, cloud data lakes, and traditional databases from a centralized governance platform.
Handle petabytes with linear scalability
Process growing data volumes by adding compute and storage resources horizontally, with distributed architecture that maintains consistent performance as your big data environment expands.
Combine big data with machine learning intelligence
Apply trained models to massive datasets for advanced pattern recognition, predictive analytics, and automated decision support that scales to billions of records.
Native connectivity to modern data platforms
Work seamlessly with Databricks, Snowflake, AWS, Azure, and Google Cloud through optimized connectors that leverage platform-native features for maximum performance and cost efficiency.
Trusted for mission-critical big data analytics
Join organizations processing petabytes daily that rely on Qlik's big data platform to power analytics, AI applications, and operational intelligence at unprecedented scale.
Key capabilities of Qlik's big data platform
High-performance data ingestion and processing
Ingest data from hundreds of sources simultaneously with parallel processing that handles high-velocity data streams and batch loads while maintaining data consistency and quality.
AI-powered analytics and machine learning integrations
Deploy machine learning models that operate on massive datasets, with built-in support for TensorFlow, PyTorch, and scikit-learn that enables data scientists to work at big data scale.
Automated data transformation and streaming insights
Process streaming big data with sub-second latency using in-memory processing that applies complex transformations, aggregations, and enrichment without batch delays.
Automated governance, security, and lineage tracking
Maintain compliance and data protection at scale with automated policy enforcement, encryption, access controls, and comprehensive lineage that tracks data flow across distributed systems.
Cross-cloud and hybrid data management
Manage big data consistently across AWS, Azure, Google Cloud, and on-premises infrastructure with unified tools that provide portability and prevent cloud vendor lock-in.
Self-service analytics for business and data teams
Empower users to explore and analyze big data directly through intuitive interfaces that hide complexity while providing the power of distributed computing and advanced analytics.
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
Big data platform FAQs
We leverage distributed processing across compute clusters, intelligent data partitioning, columnar storage optimization, and query pushdown to maintain interactive performance even with petabytes of data.
Yes, we integrate natively with Hadoop, Spark, Hive, and other big data frameworks, allowing you to leverage existing infrastructure while adding advanced analytics and governance capabilities.
Our flexible pricing models support various big data scenarios including consumption-based, capacity-based, and hybrid options that align costs with your usage patterns and business value.
The platform includes automatic failover, checkpoint recovery, and job restart capabilities that ensure processing continues without data loss when individual nodes or clusters experience failures.