PRODUCT -> Why Prism Is Different
SiSense Prism
COMPARED TO THE ALTERNATIVES
It seems that there is no shortage of business intelligence vendors out there. They all claim to be powerful, easy-to-use, flexible and affordable. So how do you pick the one that is right for you?
Below is a brief description of how Prism stacks up against the alternatives. We are confident that you will find Prism the perfect choice for your analytics needs.
But... we don't expect you to take our word for it!
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Traditional Enterprise BI Stacks
Got a million dollars to spare?
Traditional enterprise BI stacks are provided by companies such as Oracle, SAP, IBM, Microsoft. Most of these stacks are a combination of home-grown software integrated with software obtained through several acquisitions. While these stacks are designed for scalability, they require a significant investment of time, effort and money. Setting up a single source of truth (i.e. a data warehouse) and enabling business users to perform their own analytics (through OLAP cubes) can take month for a certified professional, and the accumulated costs of software, hardware and services can easily reach millions of dollars.
The Prism Advantage:
With a cutting-edge database technology and a flexible product architecture, Prism lets you benefit from the advantages of having a single source of truth, coupled with blazing-fast multi-dimensional analytics, without the complexities of traditional data warehousing and OLAP modeling. And the best part is that you can do it yourself, without a battery of consultants or IT professionals being involved in every step of the way.
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In-Memory Data Discovery Tools
The Out-Of-Memory Experience
In-memory data discovery tools are known for their ability to perform fast calculations. They achieve this by utilizing a memory-based database which holds the entire dataset inside the computer's RAM, thus reducing disk access during querying which results in improved performance. However, this technique also means that datasets larger than a couple of dozen of gigabytes, often break these types of tools. This challenge is compounded with multi-user applications, due to the fact that each user requires additional memory space for user-specific operations.
The Prism Advantage:
By utilizing modern database technology was built for modern 64-bit hardware and latest CPU architectures from the ground up, Prism delivers as-fast or faster performance than in-memory solutions, without hitting the wall with data volumes or concurrent usage. Prism utilizes disk, RAM and CPU so efficiently, that it enables a single commodity server to crunch terabytes of data on inexpensive hardware, and serve a large number of concurrent users!
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Data Visualization Tools
Umm... Shouldn't this be free?
Data visualization tools are used to present data in a variety of graphics that are easier for business users to consume than endless lists of numbers. While colorful visualizations can be nifty in PowerPoint presentations, data visualization tools cannot be considered a complete analytics solution as they do not provide advanced analytics nor do they provide scalable data storage and management features. Yet, some of data visualization tools cost as much as full-fledged analytics solutions!
The Prism Advantage:
Prism is an end-to-end solution that provides a rich gallery of unique data visualization capabilities that would cast a shadow even on best-of-breed data visualization tools. But just as importantly, it provides comprehensive data storage and management features that enables any business to implement and deploy scalable analytics at a similar price point offered by suppliers of mere data visualization features.
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Hadoop and Distributed Data Warehouses
Do you really want to go there?
Distributed solutions like Hadoop, or multi-node data warehouses, are typically used to manage data that is too large to fit or be processed on a single machine. Setting up and maintaining a distributed solution like Hadoop is so complex, labor intensive and IT-centric that very few businesses have the needed expertise, or the will, to implement or maintain it as a viable solution for business analytics.
The Prism Advantage:
Prism's cutting-edge technology means that a single commodity machine can be used for terabyte scale analytics and to serve multiple users concurrently. Prism taps into the true processing potential of today's 64-bit computer, multi-core CPUs and parallelization capabilities, enabling a single commodity server to deliver the same data processing power as a cluster made up of 10 individual nodes, making it a snap to set-up and deploy without any prior expertise in big data analytics implementations.
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Open Source BI Platforms
Free software! Or, is it?
Getting software for free sounds like a promising proposition, but its value in business analytics still remains questionable. As most open source analytics platform utilize open source versions of older technologies like relational database engines and OLAP cubes, the savings on software diminishes compared to the increasing integration, maintenance and consulting costs.
The Prism Advantage:
Even though Prism is commercial product with a price tag on software, its total cost is still lower overall compared to any open source solutions with the same breadth of functionality, if you include software, hardware and services. All of Prism's components are tightly integrated and can be deployed and used by non-developers. Good thing too, otherwise we'd have to called it developer-analytics instead of business analytics, right?
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