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Nodeable Bolsters Hadoop With StreamReduce Analytics Engine for Real-Time Data Insights and Faster Batch Processing(July 18, 2012)
SAN FRANCISCO, CA -- (Marketwire) -- 07/18/12 -- Nodeable, providers of real-time data stream processing, today announced general availability of StreamReduce, the first real-time big data Hadoop pre-processing analytics engine that helps companies gain critical insights faster through a cloud-based solution -- opening up the power of big data analytics to a wider group of IT professionals than ever before.
StreamReduce is Nodeable's real-time aggregation and processing engine that enhances and analyzes data streams as a cloud-based complement to batch processing via Apache Hadoop and Amazon Web Services Elastic Map Reduce.
"Nodeable's cloud-based complement to Hadoop means users can process multiple data streams in real-time, enhancing data and making MapReduce jobs more efficient," said Mike Olson, CEO of Cloudera. "As the demand for Hadoop and big data insights continues to grow, Nodeable's pre-processing engine helps large enterprises get more from Hadoop faster and its real-time cloud delivery brings the benefits of big data analytics to companies without the dedicated IT staff and resources of the Global 2000."
Market researchers estimate that big data is a market expected to grow to $16.9 billion by 2015, with the Hadoop software sector alone exploding at a compound annual growth rate of more than 60 percent.
But data-driven companies need real-time useful information -- a capability not available in batch-oriented tools like Hadoop. With StreamReduce from Nodeable, users can complement their Hadoop deployments by applying continuous computation to aggregate custom, structured and unstructured data streams, revealing key real-time insights, anomalies and summaries that help make data-driven businesses more efficient and agile.
StreamReduce is also designed to be easy-to-use for customers who want sophisticated data analytics without the high expense of dedicated big data scientists on staff and the enormous capital costs of building large Hadoop clusters.
"For almost a year the engineering team at Nodeable has worked closely with more than 400 beta users who've told us that a real-time analytics complement to Hadoop is a top priority," said Dave Rosenberg, Founder and CEO of Nodeable. "Batch workflows are too slow for turning data into useful, actionable information. StreamReduce solves that problem with a simple cloud-based solution."
With StreamReduce, customers can gain invaluable insights into their big data before Hadoop processing -- giving users the benefits of immediate analysis of their data streams. Nodeable beta users are taking advantage of the StreamReduce for a variety of use cases including:
- Log and clickstream analysis;
- Anomaly detection in Amazon Web Services EC2 instances;
- Security and fraud detection;
- Mobile and geo-location measurement;
- Pinpointed advertising and marketing.
Nodeable's StreamReduce service is available now. Pricing starts at $99/month.
Nodeable provides real-time data stream processing for big data applications. Nodeable's StreamReduce engine aggregates, normalizes and analyzes data before it reaches Hadoop, significantly accelerating batch processing under MapReduce. Customers are up and running in under 15 minutes and scale large workloads easily with Nodeable's cloud-based deployment. Founded in 2011, the company is backed by True Ventures.
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