Financial industry use cases for Oracle TimesTen in memory database for rapid automated trading systems with low latency

(Last Updated On: October 14, 2012)
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Financial industry use cases for Oracle TimesTen in memory database for rapid automated trading systems with low latency

 

In summary:

perform real-time analyses need

With Oracle TimesTen, a transaction that reads a database record can be completed in 2.5 microseconds

(measured on Intel Xeon 2.93 GHz processor running Oracle Solaris),

Extreme low latency and predictable microsecond response times enable Oracle TimesTen to provide

real-time access to data for highly time-sensitive operations such as processing transactions, messages and

data streams, whether for trading systems, risk management, fraud detection or other applications

http://www.oracle.com/technetwork/products/timesten/overview/wp-timesten-financial-334271.pdf

 

Notes: It is used by financial applications such as securities trading, stock exchanges, fraud detection, compliance, online banking, and bond pricing.

When used as a cache to the Oracle Database, it synchronizes data automatically with the Oracle Database. Distributed caches present a single image to applications with location transparency and distributed concurrency control.

Definite low latency metric claims:

requests in microseconds — 1.78 microseconds (0.00178 ms) for a SQL SELECT statement and 7 microseconds (0.007 ms) for a SQL UPDATE statement.

… the Oracle TimesTen In-Memory Database (TimesTen) is used by many customers today as a standalone database at the application tier. TimesTen provides full transactional support for SQL operations and the transaction logs are persisted to disk for recovery (the database is always in memory).

http://www.oracle.com/technetwork/products/timesten/faq-091526.html#GENERAL6

Use by some major stock exchanges including Philadelphia.

 

Also: http://www.oracle.com/technetwork/products/timesten/overview/china-finance-online-db-snapshot-1367347.pdf

the Oracle TimesTen In-Memory Database (TimesTen) is used by many customers today as a standalone database at the application tier. TimesTen provides full transactional support for SQL operations and the transaction logs are persisted to disk for recovery (the database is always in memory).

Holy moly in terms of speed:

 

 NYFIX Cuts Transaction Response Times to Less Than Three Milliseconds with In-Memory Database Solution

http://www.oracle.com/technetwork/products/timesten/overview/nyfix-customer-snapshot-1367382.pdf

 

DeutscheBorse Stock exchange:

http://www.oracle.com/technetwork/products/timesten/overview/deutsche-borse-db-snapshot-130682.pdf

 

 

Reduced the order processing time in Xentric Order by approximately 70% for 95% of all orders

 

 

 

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Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at youtube.com/quantlabs