Imagine a world without constraints where you can analyze anything. There isn’t a customer base too large, a supply chain too wide, or financials too deep that our purpose-built analytic platform can’t handle.
Core Analytic Database
Give us your biggest analytic challenge. Our purpose-built analytic database was designed from the ground up to run the most punishing workloads imaginable.
Let the ParAccel Analytic Database redefine analytics for your company. The massively parallel, columnar, compressed, compiled approach creates amazing performance. The built-in algorithms, in database analytics, load capacity and sheer processing power are unmatched in the industry.
Ask us how one of our customers refreshes 10,000 customer segments every single day!
Get it done now.
When it comes to analytic decisions, nothing matters more than timeliness. Just add up the undetected risks that have ruined companies and subtract the missed opportunities that have dropped stock prices to all-time lows and you’ll get the picture.
Our massively parallel processing is a divide and conquer processing technique that coordinates processing simultaneously across separate nodes. The combination of highly efficient interconnect, parallel data distribution and query execution drives near linear scaling.
Get it done right.
It’s good to get things done, and even better to get things done right. Before you add more memory and throw more compute power at the problem, why not make the most of the resources you have?
The ParAccel Omne Optimizer parses SQL written any way, routes queries to the best possible resource, and tackles complex joins to get analytics done right. Like an intelligent GPS system, it takes any given query and finds the best path given the traffic conditions at run time. It has been tested to perform up to 1,000 joins based on patent-pending technology that performs joins in the most efficient manner possible over an unlimited number of nodes. There is not an optimizer in the industry better suited to drive analytic performance in a way that takes analytics to the front lines, where decisions matter most. It’s built for analytics.
No man is an island. No database should be either. Ideally, a core database should be able to easily bring in data from many different sources and quickly assimilate new functionality critical to handling different kinds of analytic workloads.
It’s our ability to extend our analytic database that sets us apart from other vendors. The ParAccel Extensibility Framework opens the core database to external analytics and diverse data sources through our On Demand Integration modules.
In addition, there are libraries of advanced functions available to the database as part of our Integrated Analytics. This open environment provides the perfect layer for customers, partners and third parties to build their own integration modules and create their own libraries of embedded analytics.
This is where the fun begins. Imagine what you could do with your analytics program if you had unlimited scaling, quick access to data, and out of the box connection to libraries of analytic functions!
It’s time to get out of the sandbox and into the analytic playground.
On Demand Integration
Analyze on the fly.
In the old world, analysts were forced to stand in line behind the operational reporting groups. Bringing new data into the analytics environment could take months.
ParAccel’s On Demand Integration (ODI) architecture creates an open environment where analysts can bring in new sources of enterprise or external data before or in the middle of a query. It’s the perfect solution for offloading analytics from a Teradata data warehouse or bringing in Internet, ticker, or social media data. Out of the box modules give users access to the full range of data needed to make the right decision every time.
Think of On Demand Integration as a beautiful cooperation among external analytic engines. It’s all about running the right workload on the right platform, for the best possible return on investment. For example, there are certain workloads that run better in Hadoop. It wouldn’t make sense to bring all the Hadoop data into ParAccel. You can simply call Hadoop, let it run the analysis, and bring the results into the ParAccel Analytic Platform. Get anything you want, any time you need it.
Teradata ODI, Hadoop ODI, FIX ODI, and NYSE ODI are available today. New modules can be created quickly in this open environment.
What’s all the hype about Hadoop? Exabytes of data? Structured and unstructured data? All the world’s data on Hadoop in 2020?
The best way to cut through the noise is to find a way to integrate Hadoop with business data and use it to make decisions that impact the way you run your company and engage your customers. The ParAccel Hadoop ODI does just that.
Let Hadoop run analytics on loads of blogs, tweets and Facebook entries. Bring the sentiment results into the ParAccel Analytic Platform and add the data to your current customer churn analysis. You end up with a much more competitive churn prediction model than you could ever create without the complement from Hadoop.
Terabytes of Teradata.
It’s true. Teradata is everywhere. Especially in many of the largest data warehouses in the world, data warehouses that were built to handle business intelligence and performance management.
The challenge is that it can be very expensive to expand these enterprise data warehouses to support new, more dynamic and complex analytic workloads. They weren’t built for a 30 way join or for running advanced analytic functions.
We leverage the Teradata Fast Export utility to create parallel streams of data flowing right into our analytic platform. It’s a win for everyone. Teradata is freed up to do more of what it was designed to do and with analytics running on the ParAccel Analytic Platform, you can do more with enterprise analytics than ever before.
Analyze any way.
The days of “quants” writing complex algorithms in a vacuum are over. We finally have a chance to leverage the work done over the last decade and capture the analytic work yet to be done.
ParAccel Integrated Analytics pulls the functionality of 503 third party advanced functions right into the core analytic database for easy use and high performance analytic processing. In addition, it’s easy for you to create new analytic functions and make them available for reuse.
Over time, you build your own library of advanced functions based on the nuances of your business. Integrated analytics becomes customized analytics and drives a sustainable competitive advantage.
Since the Extensibility Framework brings the analytics right into the core database, they run at breakneck speed. For analysts who iterate through analytic scenarios, there is no better combination than pre-installed analytics and high speed performance.