A revolutionary approach to analytics
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.
Real-time insights create opportunities
Amazon Kinesis Services: easily collect, process, and analyze data streams in real time
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.
Amazon Kinesis Data Streams
Amazon Kinesis Data Firehose
Amazon Kinesis Data Analytics
Amazon Kinesis Video Streams
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Find out how your organization can deploy real-time analytics solutions on AWS.
Featured APN Partners
Databricks
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
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
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.