Altibase has integrated Big Data adapter and hybrid architecture for addressing sensor data processing problems in its In-Memory database.
Sensor data and big data play a critical role in many organisations. Massive amounts of historical and unstructured data need to be handled in real-time. Sensor data processing must be able to handle data at rest and data in motion. Organisations have to decide on either data processing speed or linking the data with huge data sets.
Organisations have used temporary solutions to address this issue, while permanent solutions are being sought. These temporary workarounds affect flexibility and functionality, while being expensive.
Altibase provides full product stacks that consist of an in-memory database that is coupled by a hybrid database to an on-disk database and a Big Data adapter. Products developed by Altibase work seamlessly with each other that leads to lower Total Cost of Ownership for the organizations.
Presently databases should not only be fast, but also provide data in real-time. Altibase's in-memory database provides more speed than on-disk only databases. In-memory databases can serve applications that need to run complex transactions or queries on large datasets.
Altibase Hybrid DB's (HDB) possess an in-memory portion that can process large amount of data by utilizing the RAM. The HDBs possess both an on-disk database and an in-memory database that enables them to process data in real-time and also store large amounts of data.
Sensor data has to be processed with speed and it must also be able to refer to historical data to determine their relevancy. Altibase HDB'S are designed to address Sensor data. Altibase CEP processes data in motion in real-time and can handle data from multiple sensors. Altibase Hadoop Connector enables users to process sensor data while simultaneously utilizing Big Data solutions for data analysis.