Database development/administration
Unlock the power of your data with our expert database development and administration services. Our team of seasoned professionals specialize in creating custom-built databases that are tailored to your specific needs and requirements. With our cutting-edge database solutions, you can streamline your operations, improve efficiency, and make data-driven decisions with ease. With our database administration services, we provide comprehensive support and maintenance, including performance tuning, security, and disaster recovery planning to ensure your database runs smoothly and efficiently. Our comprehensive approach ensures that your data is secure and easily accessible, so you can focus on growing your business, not managing your database.
Chose between a multitude of types of databases according to your needs, all scalable, all cloud based:
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Relational databases: These are the most common type of databases, and they store data in the form of tables with rows and columns. They are based on the relational model, which is a mathematical model that defines the relationships between the data in the tables. Examples of relational databases include MySQL, Oracle, and Microsoft SQL Server.
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NoSQL databases: These databases are designed to handle large amounts of unstructured or semi-structured data, and they do not use the traditional table-based structure of relational databases. They are often used in big data and real-time web applications. Examples of NoSQL databases include MongoDB, Cassandra, and Neo4j.
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Document databases: These databases store data in the form of documents, such as JSON or XML, rather than tables. They are designed to handle semi-structured data and are often used in content management systems and other applications that require the storage of large amounts of text or multimedia content. Examples of document databases include Couchbase and RavenDB.
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Graph databases: These databases store data in the form of nodes and edges, which represent entities and their relationships. They are designed to handle data with complex relationships and are often used in social networks, recommendation systems, and other applications that require the storage of large amounts of interconnected data. Examples of graph databases include Neo4j and JanusGraph.
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Time-series databases: These databases are optimized for handling time-stamped data, often used for monitoring, IoT, and other use cases that require storing and analyzing large amounts of time-series data. Examples of time-series databases include InfluxDB and OpenTSDB.
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Object-oriented databases: These databases are based on the object-oriented programming model, and store data in the form of objects rather than tables. They are designed to handle complex data structures and are often used in applications that require the storage of large amounts of multimedia content or other complex data. Examples of object-oriented databases include Zope Object Database (ZODB) and ObjectDB.
Additionally, for an extra 20%, we can vectorise Image data, Audio data, Time-series data and numerical data.
The price is representative, a quote will be given to you upon the reception of your requirements.
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