From website clickstream data to telemetry from Internet of Things (IoT) devices, streaming data is being transmitted continuously to businesses and at massive scale. Until recently, however, the ability to ingest and analyze streaming data in real time, and for immediate action, didn’t exist. Insights could be pulled from data, but not until hours or even days after it was collected, at which point it may already be irrelevant.
With the emergence of new streaming technologies, data can now be processed and analyzed immediately – often millions to hundreds of events per hour – to deliver insights in real time. In response, businesses are building real-time insights into the fabric of their operations to capitalize on time-sensitive events, improve customer experiences, increase efficiency, and drive innovation.
While still a relatively new business capability, real-time analytics are already helping companies gain a competitive advantage in their industries. With real-time information about customers, products, and applications in hand, businesses are now doing things that were impossible just years ago, including: spotting and preventing financial fraud, detecting and dismantling cybercrimes in action, delivering personalized offers in real time to improve campaign performance, and identifying and preventing failures before they occur.
This shift to real-time analytics requires a whole new set of tools that can handle the demands of performing instant analysis on continuous inﬂows of data. Amazon Kinesis makes it easy to collect, process, and analyze real-time streaming data so you can get timely insights and react quickly to new information.
Find out how your organization can deploy real-time analytics solutions on AWS.
Databricks, founded by the team who created Apache Spark™, has been running on AWS since the company was founded. The Databricks Unified Analytics Platform enables collaboration between data science teams, data engineering, and line of business analysts to get analytics results faster. With Databricks, you can launch scalable Spark clusters in minutes that can process and analyze huge volumes of streaming data from multiple sources. Databricks can process ad hoc, batch, and streaming analytics together in a single analytics engine, taking processes that used to take days and weeks down to hours and minutes. Databricks’ fast deployment and fully managed cloud platform makes it easy for companies to harness the power of Spark and real-time analytics.
MemSQL is a database platform for real-time analytics that allows companies to ingest millions of events per second, while simultaneously analyzing petabytes of data using standard SQL. MemSQL combines the horizontal scalability of distributed systems with the familiarity of SQL to help organizations anticipate problems before they occur, turn insights into actions, and stay relevant in a rapidly changing world.
Zoomdata accelerates time-to-insight by providing a simple, intuitive, and collaborative way to visualize analytics in near real-time. With Zoomdata, you can connect, stream, and visually interact with data from multiple data sources including Amazon Kinesis, Amazon S3, and Amazon Redshift. Zoomdata’s technology enables interactive data visualization at any scale to deliver billions of records in seconds and render compelling visualizations, such as bar charts, interactive maps, and dashboards.
Learn how your organization can evolve your analytics from batch to real time and start making faster, more precise decisions. Find out how to get started with Amazon Kinesis and APN Partner solutions from Databricks, MemSQL, and Zoomdata.