In today’s data-driven world, effective and organized systems to store and access data are crucial for businesses. At Acosom, we offer comprehensive database consulting services that help you optimize performance, improve scalability, and maximize the potential of your data assets, no matter which technology you are using.
There are a few points to consider when choosing a suitable database. The decisive factor is which application scenarios need to be covered: Is there a high volume of data? Are short reaction times required? How scalable does the database have to be when company structures change? We support companies in analysing the requirements for a new database and making the best choice.
MongoDB is a document-oriented NoSQL database management system based on C++. Collections of JSON-like documents can be managed with it and data can be modelled in a natural way.
Redis is a NoSQL database and is suitable as a fast data store. As a database management system, it also has an in-memory database and a key-value store.
PostgreSQL is an object-relational database management system that allows complex systems to be extended with object-oriented approaches, scaled and stored in relational systems.
The distributed search engine and analytics covers a growing number of use cases, enables fast searches, comprehensive analytics and scales easily.
ScyllaDB is also a NoSQL database. It optimises raw performance, fully exploits multi-core servers and minimises DevOps overhead. Compatible with Cassandra and DynamoDB, it performs more consistently and more cheaply.
InfluxDB is a distributed time-series database that is optimized for handling large volumes of time-stamped data. It is commonly used for real-time analytics, monitoring, and IoT applications.
Our experts understand that the success of your business relies heavily on the efficiency of your database systems. We provide a wide range of services to ensure that you have the best possible database solution in place for your unique needs.
We analyze and optimize your database systems to enhance performance, scalability, and overall efficiency.
Our specialists advise on the design, implementation, and optimization of distributed systems to support your business processes and growth.
We assist with the integration of your databases and distributed systems into cloud infrastructures such as AWS, Google Cloud, or Microsoft Azure, ensuring flexibility, scalability, and security.
We provide end-to-end data migration services, including planning, execution, and validation, to ensure a seamless and secure transition to new database systems or platforms.
Our team offers proactive database monitoring and maintenance services to keep your systems running smoothly, prevent downtime, and identify potential issues before they escalate.
We help you establish robust database security measures and ensure compliance with industry standards and regulations, including GDPR.
Databases have many advantages: they improve business processes and support the management of customer data. Easy access also saves companies administrative effort and gives them a good overview of existing data records.
RDBMS organise data into tables with rows and columns and support SQL (Structured Query Language) for querying and managing data. RDBMS are widely used for data storage in applications ranging from finance to e-commerce.
Document-oriented database: Document-oriented databases store data as semi-structured documents, such as JSON or XML, instead of tables. They are often used to manage unstructured or semi-structured data, such as in content management or social media applications.
Key-value stores are simple databases that store data as key-value pairs, with each value assigned a unique key. They are often used for caching, session management and real-time data processing.
Graph databases are optimised for storing and querying graph data, where nodes represent entities and edges represent relationships between those entities. Graph databases are often used in social networks, recommender systems and fraud detection systems.
Column-oriented databases store data as columns instead of rows, which makes them well suited to handling large amounts of data with high write throughput. They are often used to manage time series data, event data and log data.
Time series databases are optimised for storing and querying time series data, such as sensor data or financial data. They often include features such as data compression, downsampling and aggregation to efficiently process large volumes of time-stamped data.
Because the use of databases involves working with a lot of different data and information, companies must ensure secure handling and operation. When choosing a database, the following aspects play an important role in addition to the many advantages:
It is important to control access to the databases to prevent unauthorised access and misuse. Access rights should only be granted to authorised persons and appropriate authentication and authorisation methods should be used.
Databases should be secured with appropriate encryption technologies to protect data from unauthorised access. Both data at rest and data in transit should be encrypted.
The GDPR also applies to the processing of personal data in databases and companies must adhere to principles such as data minimisation, transparency and data security as well as respect the rights of data subjects.
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