an IT Solutions &
Software Consultancy Firm
Expertise
Databases & Storage
A database is nothing more than a collection of information that is organized so that it can
be easily accessed, managed and updated. As a system entity, databases typically contain aggregations of data
records or files, capturing cruicial information about the app you are envisioning or building.
Almost in all of the business cases, it is required such important information to be persisted in some way,
to be later retrieved for a particular purpose. The decision of choosing the proper database is
based on of what kind of data is expected to be persisted, how frequent it is inserted/read,
what is the volume of the data at hand. Additionally, it also depends on other qualities like real-timeness,
consistency, integrity of such information persisted; all this to significantly also affect the entire
software architecture of the platform/application, most-often rippling down to lower level implementation
details which must be aligned.
Get to know the difference OLTP vs. OLAP!The system architecture and design are highly affected from the projected non-functional requirements the system should provide, which primarily are concerned with:
- Performance – e.g. Response Time, Throughput, Static Volumetric
- Scalability
- Capacity
- Availability
- Reliability
- Recoverability
- Maintainability
- Security
- Data Integrity
- Interoperability
Most of the databases of the technological world might look similar to each-other,
but they were designed to fully shine for distinguishable different use cases. Therefore,
most often they are employed in a hybrid settings where one interconnects & stays in sync with another one.
The traditional choice in our digital era for an OLTP is relational databases.
As a technology have been matured quite for a long time now, where data is organized in tables
(columns & rows), where data can be manipulated and CRUD
actions can be performed utilising the SQL language.
What does CRUD stand for?!
A great deal of the carefulness is invested when choosing the appropriate database for the eco-system
being built, so it fulfills both its data purpose and overall qualitative system preferences,
which are derived from the feasibility study & analysis of the desired system properties accordingly.
There are dozens of production-ready ACID-compliant database management systems mature enough
and proved their worth in production settings, providing the basis for information storage & retrevial.
Contact us to know more about the desired ACID properties that fit your case!Below are some of the relational databases which we have expertise on:
The modern advances on information systems gave birth to a different genre of database systems, called the NoSQL databases. Like other perspectives in life, there were trade-offs to be made which revolve around the CAP theorem.
Amongst many lower-level differences how information is stored/indexed, NoSQL databases due to not being relational, offer higher schema flexibility accelerating software evolution cycles which are necessary in our modern high-paced agile world. Recently, most of them offer high adaptions to cases of Big Data or Internet of Things trends, performing much better under high-load and being able to easily get configured to scale horizontally. They are of different types which chracterize them with different properties e.g. column-oriented, key-value stores, document-oriented databases & graph databases.
Below are some of the NoSQL databases which we have expertise on:
It does not end there... after choosing the right database to go with, the database design phase begins, but relax... you are in good hands. We have have over 7 years of experience designing & configuring these system components accordingly against the application needs posed in the everyday features and releases. We are always following the best practices, easily avoiding known anti-patterns for particular database products. We are carefully analyzing how the data should be modelled/structured with the db/tools at hand, so it highly optimized and prepared against the queries upcoming from the application, clients meeting the quality criterias desired.
Why must a DB besides being properly modelled have the correct indexes ?!
C - stands for Consistency
I - stands for Isolation
D - stands for Durability
Set up a free consultation meeting with us to discuss how efficient sharding/partitioning strategies can help the system relief stress over CPU/RAM, so that your application becomes more responsive.
We can set up on bare metal appliances, standalone virtual servers or go entirely into the cloud where the infrastructure and security upgrades are done continiously, without having to worry about.