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White Paper Chapters

Chapter 1

The Evolution of Applications

As technology evolves, enterprise applications have matured from storing data to delivering analysis, and now predicting the future.

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Chapter 2

Examples of Predictive Applications

From the factory floor to the ER, predictive applications make a real-world impact for the companies that deploy them.

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Chapter 3

How OLPP Powers Predictive Applications

Predictive apps combine past history, real-time data from the present, and forward-looking planning, all in a single OLPP system.

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Chapter 4

OLPP Architecture

To power OLPP workloads, a predictive application platform eliminates latency and complexity at an architectural level.

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Chapter 5

What is Splice Machine?

Splice Machine is a scale-out SQL RDBMS specifically designed to power predictive applications and run OLPP workloads.

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Chapter 6

Why Predictive Applications Require ACID

What-if planning systems require transactional ACID properties to be able to handle critical line item updates without failure.

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Chapter 7

Tightly-Coupled Analytics with Spark

Splice Machine gives data engineers and scientists access to data from Spark through Scala and Python as well as notebooks.

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Chapter 8

Flexible Deployment Options

Splice Machine offers flexible deployment options for customers, either on-premise in their own cluster or in the cloud as a SaaS.

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Are You Ready to Close the Predictive Gap?

Download the entire guide to Online Predictive Processing (OLPP) and learn how OLPP systems like Splice Machine are uniquely capable of powering predictive applications for supply chain, healthcare, financial services, retail and marketing companies that need to go beyond predictive analytics to succeed.

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