Difference between revisions of "Features/Relational database"
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The platform is very scalable in regard to | The platform is very scalable in regard to | ||
=== Complexity === | |||
You can keep extending the models as far as needed, using the Parent and Child relations. | |||
Due to a very elaborate and flexible permission model, multiple user types and scanarios can easily be supported on the same setup. | |||
We even support logical constructs such as many-to-many relations. TS has customers running more than 350 linked applications on the same server. | |||
=== Performance === | |||
TS dataases are largely unaffected by data set sizes and number of concurrent users. | |||
There builtin configurations for indexing fields, and the built in searches can be supported by Elastic search and indexing. | |||
To prove our point we have actually had the whole platform running smoothly on a Rasperry PI. | |||
=== Volumes === | |||
Databases will handle large amounts gracefully, but large object sizes will often cause problems in back/restore scenarios. | |||
TS supports unlimited file size and count, using a mixed database and block storage approach. | |||
== Relational searches == | == Relational searches == | ||
Latest revision as of 09:46, 10 November 2024
Usage
Since the 1960 it has been well known that SQL databases are the way to go for complex systems storage.
TS is based on the MySQL / MariaDB / Percona databases, and all data is fully normalized granting multiple benefits
- High performance with high volumes
- Easy to integrate with BI systems
- Predictable structures
Scalable applications
Applications built in TS will adhere to common design practices ensuring good performance, stability and integrity.
The platform is very scalable in regard to
Complexity
You can keep extending the models as far as needed, using the Parent and Child relations.
Due to a very elaborate and flexible permission model, multiple user types and scanarios can easily be supported on the same setup.
We even support logical constructs such as many-to-many relations. TS has customers running more than 350 linked applications on the same server.
Performance
TS dataases are largely unaffected by data set sizes and number of concurrent users.
There builtin configurations for indexing fields, and the built in searches can be supported by Elastic search and indexing.
To prove our point we have actually had the whole platform running smoothly on a Rasperry PI.
Volumes
Databases will handle large amounts gracefully, but large object sizes will often cause problems in back/restore scenarios.
TS supports unlimited file size and count, using a mixed database and block storage approach.
Relational searches
A common problem querying data is specifying criterions and values in different parts of the model
Show orders where the sum > 10000, and one or more ordelines refers to the product Smart TV
In TS this is handled gracefully by allowing interlinked searches
Look at parents refering children
- Make a search in the child items (optionally name the view)
- Set search criterions normally
- Make another search in parent item
- Set search criterions normally
- In the List of children field refer to the CURRENT_QUERY (or given name)
Look at children refering parents
- Make a search in the parent items (optionally name the view)
- Set search criterions normally
- Make another search in child items
- Set search criterions normally
- In the Parent reference field refer to the CURRENT_QUERY (or given name)