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Pentaho Data Integration

INGEST, BLEND, CLEANSE AND PREPARE DATA FROM ANY SOURCE

Pentaho Data Integration provides visual tools to eliminate coding and complexity, and puts all data sources and the best quality data at the fingertips of business and IT users.

Easy to Use With the Power to Integrate All Data Types

INTUITIVE DRAG-AND-DROP DATA INTEGRATION IS COUPLED WITH DATA-AGNOSTIC CONNECTIVITY SPANNING ALL DATA SOURCES

  • Graphical extract-transform-load (ETL) designer simplifies the creation of data pipelines
  • Rich library of prebuilt components to access, prepare, and blend data from relational sources, big data stores, enterprise applications, and more
  • Powerful orchestration capabilities to coordinate and combine transformations, including notifications and alerts
  • CITO Research: Buyer's Guide to Big Data

    Review key things to consider when creating an integrated big data environment.

    READ THE GUIDE

Big Data Integration With Zero Coding Required

ACCELERATE DESIGN AND DEPLOYMENT OF BIG DATA ANALYTICS BY UP TO 15 TIMES VS. HAND-CODING TECHNIQUES

  • Complete visual big data integration tools eliminate manual programming and scripting from the process
  • Seamlessly switch between execution engines, such as Spark and the Pentaho native engine, to accommodate data volume and transformational complexity
  • Robust support for Hadoop distributions, Spark, NoSQL data stores and analytic databases
  • Meet the Experts: PDI Best Governance

    Learn about specific governance best practices for PDI development and maintenance.

    WATCH THE WEBINAR

BRING ANALYTICS INTO DATA PREP

Visualize Data In-Line at Every Step of the Data Pipeline, on a Single Platform

Easy Access to Analytics

Robust admin features – performance monitoring, job rollback and restart, and an operations mart – simplify usage auditing.

Quickly Prototype and Publish

Reduce the time needed to provide data models for business users, creating a more collaborative process between business and IT.

Shorten Development Time

Use data services to virtualize transformed data, making data sets immediately available for reports and applications.

ENTERPRISE PLATFORM TO ACCELERATE THE DATA PIPELINE

Go Beyond Standard ETL to Scalable and Flexible Management for End-to-End Data Flows

Increase Time Efficiency

Dynamic and reusable data integration templates enable users to create transformations on the fly.

Built for Data Growth

Multi-threaded data integration engine scales up and out, including deployment to clustered and cloud environments.

Simplify Administration

Robust admin features – performance monitoring, job roll-back and restart, and an operations mart – simplify usage auditing.

BLENDED BIG DATA ANALYTICS

A Tightly Coupled Integration and Business Analytics Platform Accelerates Value

Robust Analytics Features

An array of analytics provides data access and integration to data visualization and predictive analytics.

More Accurate Outcomes

Architect big data blends at the source and stream them directly for more complete and accurate analytics.

Support for Multiple Engines

Seamlessly switch or combine data processing engines with in-cluster execution to maximize existing processing capacity.

BROAD AND ADAPTIVE BIG DATA INTEGRATION

Deep Native Connections and an Adaptive Big Data Layer Accelerate Access

Access Data Once

Gain access to data once and then process, combine and consume it anywhere.

Greater Flexibility

Enable users to reduce risk by providing insulation from changes in the big data ecosystem.

Works With Popular Data Stores

Support for the latest Hadoop distributions from Cloudera, Hortonworks, MapR, and Amazon Web Services.

Explore

DWI Best Practices Report: Improving Data Prep for Business Analytics
Explore how to implement the right strategy, processes, and technologies to solve data preparation trials.

Community

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From Siloed Data to Increased Productivity

It’s the age of big data, which means just about every business and private sector organization under the sun is stocking up on massive amounts of...

BLOG, Hermal Govind
Introducing the Adaptive Execution Layer and Spark Architecture

Recently Pentaho announced the release of Pentaho 7.1. Don't let the point release numbering make you think this is a small release. This is one of the most significant releases of Pentaho Data...

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Pentaho Business Analytics

Users are empowered to access, discover and blend all types and sizes of data with minimal IT support.

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Hitachi Data Systems, Pentaho and Hitachi Insight Group are now one company: Hitachi Vantara.

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