Sophisticated challenges can only be met with sophisticated technologies. That’s why we’ve built in-depth expertise in the following areas where our solutions are based:
Big Data describes the economically meaningful extraction and use of decision-relevant insights from diverse and differently structured sources of information, which are characterized by high dynamics of change and an unprecedented extent. Big Data provides methods, technologies and tools that translate the explosion of volumes of diverse information into sound and timely management decisions, making a key contribution to improving competitiveness.
NoSQL (not only SQL) refers to a heterogeneous set of data management systems with different functions. These were created for use cases in which the available SQL-based databases reached their performance limits and therefore could hardly be used. Thus, NoSQL is intended not to be limited to SQL databases only and is therefore an addition to SQL.
In-memory databases are memory-resident, so data analytics are applied directly to data held in random access memory (RAM). The memory offers significantly higher access speeds and simpler algorithms for access. For this reason, in-memory databases are much faster and their access times are more predictable than those of disk-accessing database management systems.