21 listings. The sensors associated with Things will generate floods of data. This section covers cloud services, analytics tools and more.
Hasselt, Bel. Delivers operational intelligence through big data search and predictive analytics for industrial process data, enabling operators to search for trends in a web client without the support of a data scientist.
Cisco Data and Analytics
San Jose, CA. Combines data at the edge and data in motion with the power of Cisco's networking expertise to create analytics solutions for better outcomes. Products include Data Preparation, Data Virtualization, and ParStream.
A free, open source, and heavily-forked project for machine learning and deep neural network research. TensorFlow's flexible architecture allows the deployment of computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
San Francisco, CA. Utilizing a Publish/Subscribe mode, PubNub enables software developers to rapidly build and scale realtime apps by providing cloud infrastructure, connections and key building blocks for realtime interactivity.
A distributed, fault tolerant, high throughput pub-sub messaging system, Kafka is usable for messaging, stream processing, metrics, event sourcing and more. Kafka is comparable to traditional messaging systems such as ActiveMQ or RabbitMQ.
San Francisco , CA. Tranforms video cameras into business intelligence tools, primarily for retailers. Technologies include Video Condensation, Auto Calibration, Big Data Processing, REST API, and more.
Southampton, UK. Pronounced like the Japanese word "Sensei," the company provides predictive analytics and a way for agricultural businesses to be able to easily use sensor and environmental data.
San Francisco, CA. Tools to make machine data usable, under the "OperationalIntelligence" brand. Free apps and add-ons -- such as Modular Input for REST API, JMS, MQTT and more -- simplify the connection and collection of data from both industrial systems and the IoT.
Open-source software for reliable, scalable, distributed computing for handling extremely large data sets. The project includes Hadoop Common, Hadoop Distributed File System, Hadoop YARN and Hadoop MapReduce.
Palo Alto, CA. Provider of Apache Hadoop-based software and services for customers in financial services, web, telco, government and more by offering a unified Platform for Big Data.
Building a scalable machine learning library, Mahout can classify with Naive Bayes, Hidden Markov, Logistic Regression and Random Forest. Mahout rejects new Hadoop MapReduce algorithm implementations.
Mountain View, CA. Revolution's R products, based on the open source programming language known as "R", makes the power of predictive analytics accessible. The company name derives from combining the letter "R" with the word "evolution".
San Jose, CA. Silicon Valley. MapR provides a broad set of Big Data capabilities with a complete distribution for Apache Hadoop, packaging more than a dozen projects from the Hadoop ecosystem (HBase, Hive, Pig, Mahout, Flume, Avro, Sqoop, Oozie and Whirr).
Redwood City, CA. Offers intelligent solutions for analysis of machine generated data: the open-source NuPIC (Numenta Platform for Intelligent Computing) and the commercial product Grok. The Grok API connects to Amazon Cloud Watch.
Sunnyvale, CA. A player in the Big Data space, Glassbeam's Domain Specific Language called SPL (Semiotic Parsing Language) allows programmers to describe the structure, meaning and relationships between elements in operational data. The company was the first to provide a SaaS solution for product analytics.
SkySpark allows domain experts to capture knowledge in "rules" that automatically run against collected data by employing "semantic tagging," pattern recognition, functional rules processing.
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