Research Library

Cost-effective ways to power your web, mobile, OLTP, and Internet of Things applications

Powering real-time applications involves scaling not only existing enterprise applications, but also new applications that have emerged from the web, social media, and mobile devices. Overwhelmed by massive data growth,businesses must carefully select cost-effective technologies that can enable applications to easily manage both the data volumes of today and its  exponential growth in the future. 

Saving the Applications of Yesterday 

Business applications commonly access data using the Structured Query Language (SQL) through legacy relational database management systems (RDBMSs) such as Oracle, IBM DB2, or MySQL. However, many existing SQL applications are being overwhelmed by exponential data growth, and the legacy RDBMSs that support them often hit a wall, either from a performance or cost  perspective. Scaling up these systems can mean expensive database hardware replacements, while NoSQL technology usually requires cost-prohibitive application rewrites.

Supporting the Applications of Today and Tomorrow

The modern world of web, social, mobile and Internet of Things (IoT) applications is also very demanding on databases, requiring them to ensure real-time responses while handling massively increasing data volumes with increasing velocity. 

These new applications are extracting information from a plethora of sources within the Internet of Things, including countless sensors, social platforms, and mobile devices. They serve a number of use cases, such as digital marketing, healthcare, and fraud detection, which share these workload characteristics:

• Complex, interactive queries

• Data updates in real time

• High concurrency of small reads and writes

The key to riding the wave of big data and enabling digital applications in real time is to select a database that can support massive data growth without bursting IT budgets.

Offered Free by: Splice Machine
See All Resources from: Splice Machine