Technology

Get The Facts On
Platfora Technology

Platfora software transforms the raw data in Hadoop into interactive, in-memory Big Data Analytics—instantly. No ETL tools, data warehouse, or business intelligence software required. All you need is Hadoop and business users clamoring for insights.

Inside Platfora Big Data Analytics

Mouse over the diagram below to learn more

Vizboards

Vizboards are a web-based canvas where you can explore data and build relevant—and important—visualizations based on big data, including funnels, point, line, bar, and area charts; bubble and scatter plots; heat maps, and more.

Analytics Engine

Optimized for big data, the Platfora analytics engine answers relevant questions for your business, helping you create vizboards that comprehensively represent the data. Comprised of a full suite of powerful components, the analytics engine delivers rich Big Data Analytics.
  • Event Analytics
    Discover trends and correlations in the behaviors of your customers, products, and devices. The first interactive and visual event analytics solution for the multiple event series that impact your business.
  • Data Discovery & Bi
    Fully-featured visual BI (business intelligence) and data discovery analytics for slicing and dicing data interactively.
  • Data Catalog
    The Platfora data catalog makes datasets in Hadoop usable and searchable. IT teams can maintain standard and commonly used datasets and end users can import their own to add into the data model.
  • Iterative Segmentation
    Instantly create segments that act as new fields within your dataset. Base segments on any combination of existing attributes across diverse datasets. Segments can be securely shared to facilitate collaboration and updated when new data arrives.
  • Viz Processor
    Generate visualizations that depict millions of data points on virtually any device. Automatically scales mark density based on target resolution. Interactive highlighting and filtering shows correlations in data across visualizations.
  • Collaboration & Publishing
    Vizboards can be shared with individuals or groups within your team or organization, helping your team to learn from and build on each other’s insights. Schedule delivery of a PDF of your vizboard to your email inbox on a periodic basis.
  • Object Level Security
    Synchronize with your LDAP or Active Directory server to set permissions by individual or group to own, edit, or view vizboards—all using a self-service, web-based interface.

In-memory Accelerator

The in-memory accelerator makes big data analysis interactive and fast, with processors optimized for today’s analytics. Scales out across multiple physical or virtual servers to achieve storage of terabytes of compressed data in-memory. Intelligently plans queries and distributes them across machines to maintain sub-second responses to complex questions.

In-memory Processors

  • Event Series
    Interactively query event series lenses to answer complex questions about your subjects’ behavior.
  • Aggregate
    Optimized to query a compressed-columnar representation of the underlying data—organized and aggregated for high performance.

  • Lenses
    Lenses are structurally optimized and materialized from raw data in Hadoop. They are then transferred to the Platfora in-memory acceleration layer. Lenses are broken into smaller components and distributed across nodes for performance and redundancy. They page in and out of disk as required.
  • Lens Management
    Platfora automatically refreshes lenses when new data arrives in Hadoop or on-demand. Intelligent algorithms determine components of existing lenses that can be re-used, reducing the workload on the Hadoop cluster and reducing the time to access updated data.

Hadoop Processing

Platfora natively integrates with Hadoop—the de facto big data operating system—and leverages it as a work engine to process and organize raw data for deep processing. Works with all major Hadoop distributions.

Hadoop Processors

  • Event Series
    Weaves together multiple event series—sorted by time—and partitioned by the subject of your analysis.
  • Aggregate
    Builds compressed-columnar extracts of raw data optimized for slicing and dicing.

  • Lens Builder
    Automatically generates MapReduce jobs without developer or IT intervention. It does this to organize data for in-memory interactivity. Also, monitors job progress to completion. Refreshes lenses when new data arrives in Hadoop automatically or on demand. Intelligent algorithms determine components of existing lenses that can be re-used, reducing the workload on the Hadoop cluster and reducing the time to access updated data.
  • Data Ingestor
    Platfora natively processes standard file types and structures typically used in big data. Log files, delimited files, even files with nested or serialized formats like Avro, JSON, or XML are automatically interpreted and elements are extracted into order. Users can transform and clean raw data with a complete expression library including support for Java™ user-defined functions (UDFs).
  • Data Security
    Data security is enforced by datasets or data source and assigned by IT to ensure that even if a user shares their analysis, data will only be seen by those with permission. Even visualizations can only be shared with users who have access to the underlying data.

Click the diagram below to learn more

Vizboards

Vizboards are a web-based canvas where you can explore data and build relevant—and important—visualizations based on big data, including funnels, point, line, bar, and area charts; bubble and scatter plots; heat maps, and more.

Analytics Engine

Optimized for big data, the Platfora analytics engine answers relevant questions for your business, helping you create vizboards that comprehensively represent the data. Comprised of a full suite of powerful components, the analytics engine delivers rich Big Data Analytics.

Event Analytics

Discover trends and correlations in the behaviors of your customers, products, and devices. The first interactive and visual event analytics solution for the multiple event series that impact your business.

Data Discovery & Bi

Fully-featured visual BI (business intelligence) and data discovery analytics for slicing and dicing data interactively.

Data Catalog

The Platfora data catalog makes datasets in Hadoop usable and searchable. IT teams can maintain standard and commonly used datasets and end users can import their own to add into the data model.

Iterative Segmentation

Instantly create segments that act as new fields within your dataset. Base segments on any combination of existing attributes across diverse datasets. Segments can be securely shared to facilitate collaboration and updated when new data arrives.

Viz Processor

Generate visualizations that depict millions of data points on virtually any device. Automatically scales mark density based on target resolution. Interactive highlighting and filtering shows correlations in data across visualizations.

Collaboration & Publishing

Vizboards can be shared with individuals or groups within your team or organization, helping your team to learn from and build on each other’s insights. Schedule delivery of a PDF of your vizboard to your email inbox on a periodic basis.

Object Level Security

Synchronize with your LDAP or Active Directory server to set permissions by individual or group to own, edit, or view vizboards—all using a self-service, web-based interface.

In-memory Accelerator

In-memory Processors

The in-memory accelerator makes big data analysis interactive and fast, with processors optimized for today’s analytics. Scales out across multiple physical or virtual servers to achieve storage of terabytes of compressed data in-memory. Intelligently plans queries and distributes them across machines to maintain sub-second responses to complex questions.

Event Series

Interactively query event series lenses to answer complex questions about your subjects’ behavior.

Aggregate

Optimized to query a compressed-columnar representation of the underlying data—organized and aggregated for high performance.

Lenses

Lenses are structurally optimized and materialized from raw data in Hadoop. They are then transferred to the Platfora in-memory acceleration layer. Lenses are broken into smaller components and distributed across nodes for performance and redundancy. They page in and out of disk as required.

Lens Management

Platfora automatically refreshes lenses when new data arrives in Hadoop or on-demand. Intelligent algorithms determine components of existing lenses that can be re-used, reducing the workload on the Hadoop cluster and reducing the time to access updated data.

Hadoop Processing

Hadoop Processors

Platfora natively integrates with Hadoop—the de facto big data operating system—and leverages it as a work engine to process and organize raw data for deep processing. Works with all major Hadoop distributions.

Event Series

Weaves together multiple event series—sorted by time—and partitioned by the subject of your analysis.

Aggregate

Builds compressed-columnar extracts of raw data optimized for slicing and dicing.

Lens Builder

Automatically generates MapReduce jobs without developer or IT intervention. It does this to organize data for in-memory interactivity. Also, monitors job progress to completion. Refreshes lenses when new data arrives in Hadoop automatically or on demand. Intelligent algorithms determine components of existing lenses that can be re-used, reducing the workload on the Hadoop cluster and reducing the time to access updated data.

Data Ingestor

Platfora natively processes standard file types and structures typically used in big data. Log files, delimited files, even files with nested or serialized formats like Avro, JSON, or XML are automatically interpreted and elements are extracted into order. Users can transform and clean raw data with a complete expression library including support for Java™ user-defined functions (UDFs).

Data Security

Data security is enforced by datasets or data source and assigned by IT to ensure that even if a user shares their analysis, data will only be seen by those with permission. Even visualizations can only be shared with users who have access to the underlying data.

Power of Hadoop for any Enterprise

Power of Hadoop for any Enterprise
Connect directly to raw data in Hadoop without hard to find experts.
Don’t get stuck thinking of Hadoop as a research project. Platfora provides the first Big Data Analytics platform that works natively with Hadoop. Now, you can realize the promise of near-infinite storage and processing — without needing MapReduce experts — to actually use big data to understand your business.
  • Deliver real business value using raw data without teams of experts
  • Store all your enterprise data using Hadoop, and let the data reveal its relevance later
  • Use any major distribution of Hadoop with Platfora, alleviating concerns about vendor lock-in

Optimized In-Memory Data Processing Models

You’ve got the data, with Hadoop storing every digital touch point in your business. But can you really use the data to deliver end-to-end insights? Not with traditional business intelligence systems and SQL. With Platfora event series and aggregate processing models, the answer is yes.
  • Combine any number of raw event series within in-memory lenses to find answers to detailed questions about subject behavior
  • Take advantage of aggregate models to see how behaviors influence your business and your bottom line
Optimized In-Memory Data Processing Models
Event Series lenses organize data for interactive event analysis.

Data interactivity at scale

Data interactivity at scale
Platfora scales out for storage, processing, and redundancy
Traditionally, it’s been a challenge to maintain interactivity when working with big data. Platfora solves that problem by storing data of interest within in-memory lenses and automatically distributing it across physical nodes.
  • Scale out in-memory storage and processing automatically across your systems or in the cloud
  • Analyze petabytes of data with a dynamic terabyte-scale cache automatically maintained by Platfora
  • Leverage the parallel processing power of Hadoop to organize data for interactive analysis

Keep data secure

You can allow users to interrogate data freely and share insights with confidence thanks to the Platfora comprehensive security model.
  • Control access to sensitive data while allowing users to manage documents with data and object-level security
  • Set up role-based and group membership security rules that are consistent with your existing environment with LDAP and Active Directory integration
  • Delegate authorization optionally to Hadoop’s file-based security to determine rules for access to data
Keep data secure
Platfora utilizes modern, web-based collaboration and permissions.

Thrives in your big data ecosystem

Thrives in your big data ecosystem
Platfora works within the growing Hadoop ecosystem.
As a rich ecosystem of projects and products evolves from big data, you don’t want to limit your options. Platfora doesn’t—it seamlessly integrates Big Data Analytics into the Hadoop ecosystem.
  • Leverage your metadata catalog from Hive or HCatalog with Platfora
  • Move data into and out of your data reservoir with an ecosystem of supported tools

Power of Hadoop for any Enterprise

Power of Hadoop for any Enterprise
Connect directly to raw data in Hadoop without hard to find experts.

Keep data secure

Keep data secure
Platfora utilizes modern, web-based collaboration and permissions.

Getting the Facts
is easier
than you think

Let us show you how your business can say goodbye to decisions and actions based on fiction, feelings, and faith and become a true Fact-Based Enterprise with serious competitive advantage.

Send us your contact info. A Platfora sales representative will contact about setting up a demo so you can see for yourself how simple it is to capitalize on all your data—regardless of type or source.

Getting started with Platfora