Why is KDB fast?
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Why is KDB fast?
The three primary reasons why kdb+ is so fast are: Kdb+ is a vector-oriented database with a built-in programming and query language. The entire kdb+ database and query language have a very small footprint (800 KB) Kdb+ is optimized for data storage.
Is kdb useful?
“Kdb+ is particularly good (both in terms of performance and functionality) at processing, manipulating and analysing data (especially numeric data) in real-time, alongside the analysis of historical data,” says KX, adding that, “The Q language is significantly more efficient than other languages that you might use ( …
Where is KDB used?
kdb+ is a column-based relational time series database (TSDB) with in-memory (IMDB) abilities, developed and marketed by Kx Systems. The database is commonly used in high-frequency trading (HFT) to store, analyze, process, and retrieve large data sets at high speed.
What does KDB mean?
KDB
| Acronym | Definition |
|---|---|
| KDB | Knowledge Data Base |
| KDB | Kernel Debugger |
| KDB | Built-In Kernel Debugger (Linux) |
| KDB | Küche, Dusche, Bad (German: kitchen, shower, bath) |
What is the advantage of using KDB?
In particular, operations that need to access a sequence of values from a particular column are much faster. If all the values in a column have the same size (which is true, by design, in kdb), things get even better. This type of access pattern is typical of the applications for which q and kdb are used.
Is KDB better than C++ for speed?
From personal experienoce I can say, you can get pretty good speeds from c++ provided you want to write that much code. With kdb you get all that and some more. another thing about speed is also speed of coding.
Is it possible to store timeseries data in kdb+?
That is to say with a column oriented storage engine, that KDB+ is friendly to store TimeSeries data. While in these days, column oriented storage engine does not belong to KDB+ exclusive. For traditional RDBMS, like MySQL, you can also find corresponding column storage engines in the open source communities.
Why should I use a column-oriented approach to my KDB?
A quick Google search came up with the answer: Many operations are more efficient with a column-oriented approach. In particular, operations that need to access a sequence of values from a particular column are much faster. If all the values in a column have the same size (which is true, by design, in kdb), things get even better.