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What's the best method to implement a very large tree structure in a database?
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I am writing a back-end program for a trading brokerage with 1000+ clients, some of which make as many as 500+ trades a day.
My C# program keeps track of everything in the following tree method:
The brokerage has a list of accounts, each account contains a list of contracts traded, and each contract has a list of trade fills as they get confirmed by the exchange.
So the most basic data item is the trade fill (id, price, side, quant, etc).
What's the best kind of DB to use to hold and manipulate this data in?
Seeing as how the # of fills can start to grow very quickly, I didn't think that a simple large trade fills table would be efficient.
Is there a DB type (SQL vs. NoSQL) and method of implementation (single table, multiple tables, objects, etc) that is best for something like this?
Thank you all in advance.
database-design tree
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I am writing a back-end program for a trading brokerage with 1000+ clients, some of which make as many as 500+ trades a day.
My C# program keeps track of everything in the following tree method:
The brokerage has a list of accounts, each account contains a list of contracts traded, and each contract has a list of trade fills as they get confirmed by the exchange.
So the most basic data item is the trade fill (id, price, side, quant, etc).
What's the best kind of DB to use to hold and manipulate this data in?
Seeing as how the # of fills can start to grow very quickly, I didn't think that a simple large trade fills table would be efficient.
Is there a DB type (SQL vs. NoSQL) and method of implementation (single table, multiple tables, objects, etc) that is best for something like this?
Thank you all in advance.
database-design tree
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
I am writing a back-end program for a trading brokerage with 1000+ clients, some of which make as many as 500+ trades a day.
My C# program keeps track of everything in the following tree method:
The brokerage has a list of accounts, each account contains a list of contracts traded, and each contract has a list of trade fills as they get confirmed by the exchange.
So the most basic data item is the trade fill (id, price, side, quant, etc).
What's the best kind of DB to use to hold and manipulate this data in?
Seeing as how the # of fills can start to grow very quickly, I didn't think that a simple large trade fills table would be efficient.
Is there a DB type (SQL vs. NoSQL) and method of implementation (single table, multiple tables, objects, etc) that is best for something like this?
Thank you all in advance.
database-design tree
I am writing a back-end program for a trading brokerage with 1000+ clients, some of which make as many as 500+ trades a day.
My C# program keeps track of everything in the following tree method:
The brokerage has a list of accounts, each account contains a list of contracts traded, and each contract has a list of trade fills as they get confirmed by the exchange.
So the most basic data item is the trade fill (id, price, side, quant, etc).
What's the best kind of DB to use to hold and manipulate this data in?
Seeing as how the # of fills can start to grow very quickly, I didn't think that a simple large trade fills table would be efficient.
Is there a DB type (SQL vs. NoSQL) and method of implementation (single table, multiple tables, objects, etc) that is best for something like this?
Thank you all in advance.
database-design tree
database-design tree
asked Oct 26 '15 at 16:17
Reza KReza K
1
1
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
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It should be down to convenience for you as I am sure you can represent that in mysql as well as any NoSQl. However there are some specialised NoSql Graph Databases. The one that I know more about is Neo4j.
It definitely has some traction, I have seen it used at some startups, one that comes to mind is findie
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It should be down to convenience for you as I am sure you can represent that in mysql as well as any NoSQl. However there are some specialised NoSql Graph Databases. The one that I know more about is Neo4j.
It definitely has some traction, I have seen it used at some startups, one that comes to mind is findie
add a comment |
It should be down to convenience for you as I am sure you can represent that in mysql as well as any NoSQl. However there are some specialised NoSql Graph Databases. The one that I know more about is Neo4j.
It definitely has some traction, I have seen it used at some startups, one that comes to mind is findie
add a comment |
It should be down to convenience for you as I am sure you can represent that in mysql as well as any NoSQl. However there are some specialised NoSql Graph Databases. The one that I know more about is Neo4j.
It definitely has some traction, I have seen it used at some startups, one that comes to mind is findie
It should be down to convenience for you as I am sure you can represent that in mysql as well as any NoSQl. However there are some specialised NoSql Graph Databases. The one that I know more about is Neo4j.
It definitely has some traction, I have seen it used at some startups, one that comes to mind is findie
answered Oct 26 '15 at 16:25
DecebalDecebal
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