The volumes of information that enterprises operate with have reached enormous proportions and continue to grow steadily. This creates a demand for database development. The term “big data” has even appeared in English, denoting such a large and complex set of data that it is already difficult to process using ready-made, replicated DBMS tools.
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We adhere to the following: a database is a set of structural and systemic data that are located in electronic form on an electronic medium and are subject to a certain scheme. Database classification is based on different criteria.
According to the type of access, DBMS are classified as:
- file server;
- client-server;
- embedded.
EDISON employees have repeatedly created databases:
- accommodating tens of millions of records;
- with a user base of several million people;
Combined databases
- NewSQL
MemSQL, VoltDB
The NewSQL approach emerged in the early 2010s with the aim of combining the advantages of relational and NoSQL databases. Despite high resource requirements and the need for technical knowledge, such databases provide high scalability and performance.
- Multi-model
ArangoDB, OrientDB
The advantage of multi-model DBs is undoubtedly the ability to use different models of data representation. In this case, users have the ability to manage information located in different databases with different approaches.
This way, you can scale, use different types of women phone numbers data and integrate them into the structure without breaking its integrity.
Cloud DB
I would like to highlight cloud databases how to find telegram channels and sales databases separately, which operate using cloud technologies. Users install software on the cloud infrastructure to deploy the database. There are no restrictions ar numbers on SQL or NoSQL types of databases.
A cloud database has a higher level of flexibility, and the cost of using cloud capacity depends only on the resources spent. Some providers use automation tools, which reduces the risk of human errors (autonomous databases).
How to choose a database: database rating
The described types of databases provide a wide choice for any business, site, project or application. What to rely on when choosing a database:
- the task of your project (website data management, application, analytics, etc.)
- in what format to store information
- how to structure and access information
