Peas and Carrots
Posted by Louis Lovas
In the words of the auspicious Forrest Gump some things go together like peas and carrots. Truer words were never spoken. Some things just do go together well, sometimes by design, often by accident. I don't think anyone actually planned milk and cookies or popcorn at the movies but nonetheless these things are made for each other. When it comes to technology the same harmonious relationships exist.
In the recent Aite report on High Performance Databases (HPDB), the
market for specialized databases
is surveyed along with a handful of vendors in this space.
is a cottage industry where the big database vendors don't
play. It's hard to imagine in this day and age where
database technology is so standardized and mature and a multitude of choice abounds
from commercial products to open source that any other database
technology and a gang of vendors would have a chance. Yet it is happening and it's thriving.
I believe it has to do with a synergistic relationship to event processing. If CEP is the "peas" then HPDB's are the "carrots". These two technologies share two fundamental precepts:
- A focus on Extreme Performance
- Temporal Awareness
I. Extreme Performance,
Speeds and Feeds
These HPDB's which are often referred to as Tick databases, are found in the same playground as event processing technologies. In the Capital Markets industry they connect to the same market sources, consume the same data feeds. Both technologies are designed to leverage modern multi-core hardware to consume the ever-increasing firehose of data. By the same token, once that data is stored on disk, database query performance is equally important. The massive amount of data collected and is only as good as the database's ability to query it efficiently thus creating another (historical) firehose of data which an event processing engine would be the consummate consumer.
II. Temporal Awareness, when is the data
Time is a basic principle in event processing technology, applications typically have as a premise to analyze data-in-motion within a window of time. HPDB's design center is to store and query time series data. Some of the database vendors even bring time to a higher level business function. They understand the notion of a business Calendar, knowing business hours, business week, holidays, trading hours, etc. Imagine the simplicity of a query where you want 'Business hours Mon-Fri for the month of February' and the database itself would know the third Monday was Presidents Day, skipping over that, thus preventing analytic calculations from skewing erroneously.
Leveraging the Synergy
These two fundamental shared principles provide the basis for a unique set of business cases that are only realized by leveraging Event Processing platforms and High Performance Databases
- Back testing algorithms across massive volumes of historical data compressing time
- Blending live and historical data in real-time
- Pre-Trade Risk Management
In the Trading LifeCycle, Event Processing and High Performance databases are partner technologies harmoniously bound together to form a union where the whole is greater than the sum of the parts. They are the peas and carrots that together create a host of real-world use-cases that would not be possible as individual technologies.
Myself along with my colleague Dan Hubsher we are doing a 3-part Webinar series entitled "Concept to Profit".
The focus is on event processing in the trade lifecycle, but we
include cases that touch upon high performance databases. You can still register for part 2: Building Trading Strategies in the Apama WorkBench where I will focus on the tools for strategy development aimed at the IT developer.
Once again thanks for reading, you can follow me at twitter, here.