Manage fast-growing volumes and increased variety and velocity of data with a data orchestration tool that reduce time and complexity of building and maintaining analytic data pipelines. Use analytics with powerful and cost-effective customized reporting and dashboarding capabilities. Uncover new insights with self-service analytics and minimal IT dependence.
Collaboratively build, deploy and monitor dataflows to streamline data delivery. Deliver analytics-ready data to end users faster with visual tools that reduce time and complexity.
Broad connectivity to virtually any data source or application
Drag-and-drop interface to create data pipelines
Dataflow templates that execute edge to cloud
Inline and stepwise visualization of data
Flexible architecture to run anywhere
Seamlessly switch between native engine and Apache Spark
Operationalize R, Python, Scala & Weka machine learning models
Extend for analytics with built-in integration
Deliver analytics in modern data architectures. Increase analytics access and adoption by moving beyond traditional per-seat licensing.
Interactive visualizations
Increased data integrity
Easy integration
Web-based drag-and-drop dashboard designer
Mash-up with other web applications
Advanced multitenancy
Operational self-service reporting
Security with content permissions
Locking and expirations
Reduce time and complexity to access, prepare and blend multiple data sources to deliver analytics-ready data - with no code. An intuitive interface paired with a powerful transformation engine offers high-performance data integration and analytics capabilities that meet customer needs.
Reduce time and complexity to access, prepare and blend sources to deliver analytics-ready data.
Access data sources on-premise or in the cloud from flat files, RDBMS, object stores and application databases.
Multitenant, embeddable and secure reporting using a rich library of interactive visualizations.
Develop adaptive and scalable pipelines with Kubernetes clusters across multiple clouds.
Operationalize R, Python, Scale and Weka models that use industry leading libraries.
Open-source heritage with no vendor lock-in provides connectivity to on-premise or cloud sources.
Pentaho Data Integration’s metadata injection capabilities accelerate complex data onboarding projects enabling data management automation.
DATASHEET FOR PRODUCTIVITYIntegrate and blend big data productively and with high performance from any source in any environment without code for enterprise data integration.
READ TO INTEGRATE VARIED DATAEnable data self-service for business by allowing teams to collaboratively build, deploy and monitor flexible data flows for faster, confident business decisions.
GET DATAFLOW STUDIO DATASHEETEnhance usability, value and competitive differentiation of information-centric software and packaged applications.
READ DATASHEETPlatform includes data integration and embedded analytics.
READ DATASHEETCustomer Success Package to create advanced visualizations and provide powerful insights.
READ DATASHEETWatch this short video to see how Pentaho Data Integration works in a complex data ecosystem. Innovate faster with data integration solutions that reduce sources of friction.
WATCH VIDEODrive actionable insighs faster with Lumada DataOps: Fully automate scaling your data operations for increased agility and lower cost for automated data integration.
WATCH VIDEOHow to achieve intelligent data operations for more effective decision making with automation that controls the flow and consumption of data from edge to the cloud.
DOWNLOAD REPORTLearn how data-driven organizations adapt to change by going beyond self-service analytics and data science experiments to having a flexible end to end data processing pipeline.
READ REPORTHitachi Vantara named a strong performer in the Forrester Wave™ for Enterprise Data Fabric in 2020 with key edge-core-multicloud capabilities in data management and integration.
READ REPORTUtilize AI, big data and cloud to deliver value from your data.
DOWNLOAD REPORTReduce data management cost and complexity by configuring and accessing data from multiple data lakes built using Google Cloud’s Hadoop offering.
Try WalkThroughReduce data discovery time of onboarded data sets. Filter and enrich these data sets with modern data integration.
SEE HOWComprehensive approach to Hadoop for ingestion, transformation, and analytics. Ensure scalable onboarding and processing to deliver governed, dynamic insights.
READ THE E-BOOKDiscover the most common big data use cases that organizations are implementing to solve their business challenges.
DOWNLOAD E-BOOKExplore some of the key features in Pentaho Enterprise Edition that are not in the Community Edition.
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EXPERIENCE ITEnable powerful insights based on trusted, actionable data through autodiscovery, enrichment, and rationalization with Data Catalog.
Learn MoreAccelerate and scale operations application deployment with a complete IIoT data platform, including core, gateway, digital twins, and machine learning (ML) services.
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