San Francisco-based Nodeable, which started up in 2011 as a Twitter-like notification service for systems management, has made a pivot in its business strategy, and has moved into the market for for helping Apache Hadoop become more user-friendly.
Nodeable has refined its product and is now offering a new cloud service for processing and analysing streams of data in real time, co-founder and chief executive Dave Rosenberg told eWEEK.
The service is designed to address one of Hadoop’s weaknesses, that it works on its own time, offline, and cannot offer results in any sort of real-time scenario.
The service, called StreamReduce, runs on top of Twitter’s open source Storm framework and serves as a much-faster Hadoop front end. It also works with other batch-processing engines, such as Amazon Web Services Elastic Map Reduce.
Using StreamReduce, IT managers can gain immediate insights into their big data using Hadoop processing, giving users the benefits of on-the-spot analysis of their data streams.
Nodeable beta users can deploy 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, Rosenberg said, with pricing starting at $99 (£63) per month.
Are You An IT Olympian? Take our quiz.
US FCC seeks to ban Chinese telecom firms at centre of national security concerns from…
Two updates to Anthropic's AI chatbot Claude sees arrival of a new business-focused plan, as…
Most people in the United States view TikTok as a Chinese influence tool a poll…
UK regulator confirms it is investigating whether OnlyFans is doing enough to prevent children accessing…
Dismissed staff file complaint with a US labor board, and allege Google unlawfully terminated their…
Elon Musk dismisses two senior Tesla executives, plus the entire division that runs Tesla's Supercharger…