DataTorrent

DataTorrent RTS provides a single, unified batch and stream processing platform that enables organizations to reduce time to market, development costs and operational expenditures for big data analytics applications. With DataTorrent RTS, organizations can streamline their batch and streaming data processing with a data pipeline approach. Analyzing data while it is motion and automating actions to be taken drives faster business value, while still preserving existing business processes for ad-hoc processing.



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DataTorrent in the press

Dec. 30, 2015

Big Data Predictions for 2016

In terms of manageability, Big Data tooling needs to achieve not just parity with data warehousing and BI tools, but needs to surpass that level. Venugopal, in fact, feels that we are within two years of streaming data becoming looked upon as just another data source. But even if not, he's absolutely right that this functionality is needed in the Big Data world. And that's a great sign for everyone involved in Big Data. Essentially, value and maturity are proxies for the enterprise-readiness of Big Data platforms.

Dec. 30, 2015

Big Data Predictions for 2016

In terms of manageability, Big Data tooling needs to achieve not just parity with data warehousing and BI tools, but needs to surpass that level. Venugopal, in fact, feels that we are within two years of streaming data becoming looked upon as just another data source. But even if not, he's absolutely right that this functionality is needed in the Big Data world. And that's a great sign for everyone involved in Big Data. Essentially, value and maturity are proxies for the enterprise-readiness of Big Data platforms.

Dec. 28, 2015

10 top big data and analytics stories of 2015

Many big companies today do a great job of collecting big data. Big data, business analytics and marketing experts discuss how organizations can best put to use all that consumer data they've been collecting. Wireless biosensors and big data analytics can help hospitals identify patients showing signs of sepsis, the leading cause of death in noncoronary intensive care units in the U.S. Here's how seven companies have taken advantage of new technology to drive big data. As in 2014, data and analytics were a hot topic at CIO.com in 2015.

Dec. 14, 2015

Solace and DataTorrent Partner to Enable Real-Time Ingestion and Analysis of Streaming Big Data

About DataTorrentDataTorrent is the leader in real-time big data analytics. DataTorrent RTS is the industry's only solution to have a high performing, fault tolerant unified architecture for both data in motion and data at rest. "Competitive pressures in the evolving big data market are driving demand for real-time streaming and data ingestion tools that can seamlessly integrate valuable insights into business operations," said Charu Madan, director of business development, DataTorrent. Solace and DataTorrent both offer elastic capacity to keep up with rising data volumes, and DataTorrent is one of the few applications that can scale to capture as much data as Solace can deliver. DataTorrent RTS is proven in production environments to reduce time to market, development costs and operational expenditures for Fortune 100 and leading Internet companies.

Dec. 8, 2015

MapR Announces MapR Streams, Creating the Industry’s First and Only Converged Data Platform

The MapR Converged Data Platform integrates file, database, stream processing, and analytics to accelerate data-driven applications and address emerging IoT (Internet of Things) needs. The integration of MapR Streams into a converged platform enables organizations in any industry to continuously collect, analyze and act on streaming data. We are seeing the converged MapR platform with MapR Streams delivering more real-time data services to our users, while enhancing those important criteria.”Unlike other approaches that create data silos across multiple systems and lack the required enterprise-grade features and global replication, only MapR natively integrates data-in-motion and data-at-rest in one converged data platform. SAN JOSE,Calif.--(BUSINESS WIRE)--MapR Technologies, Inc. today announced the industry’s first and only converged data platform and introduced MapR Streams, a reliable, global event streaming system that connects data producers and data consumers across shared topics of information. “We continue to be impressed with the innovative new features MapR has been integrating into its data platform,” said Brad Anderson, vice president, big data informatics, Liaison Technologies.

Dec. 8, 2015

MapR Announces MapR Streams, Creating the Industry's First and Only Converged Data Platform

The MapR Converged Data Platform integrates file, database, stream processing, and analytics to accelerate data-driven applications and address emerging IoT (Internet of Things) needs. The integration of MapR Streams into a converged platform enables organizations in any industry to continuously collect, analyze and act on streaming data. We are seeing the converged MapR platform with MapR Streams delivering more real-time data services to our users, while enhancing those important criteria.”Unlike other approaches that create data silos across multiple systems and lack the required enterprise-grade features and global replication, only MapR natively integrates data-in-motion and data-at-rest in one converged data platform. “We continue to be impressed with the innovative new features MapR has been integrating into its data platform,” said Brad Anderson, vice president, big data informatics, Liaison Technologies. Enterprise-grade, high-throughput streaming converges data-in-motion with data-at-restSAN JOSE,Calif.–(BUSINESS WIRE)–December 8, 2015–MapR Technologies, Inc. today announced the industry’s first and only converged data platform and introduced MapR Streams, a reliable, global event streaming system that connects data producers and data consumers across shared topics of information.

Dec. 3, 2015

Cisco Extends SDN Leadership With New ACI Capabilities

SUPPORTING RESOURCESLearn more about: Application Centric Infrastructure (ACI)Read InfoWorld's in-depth product review of ACI: "Cisco ACI shakes up SDN"Read IDC Report: Symantec Delivering on Its Strategic Vision with Next-Generation Secure Datacenter Powered by Cisco ACIView video: "Applications Leaders Embrace ACI"View ACI animated videos: "One Day at a Large Financial Institution", "Fixing an Application with Cisco ACI", "Upgrading an Application with Cisco ACI", "Cisco ACI and IT Security Automation Saves the Day"Learn How Cisco ACI delivers business outcomesLearn more on Cisco Data Center ServicesAbout CiscoCisco ( NASDAQ : CSCO) is the worldwide leader in IT that helps companies seize the opportunities of tomorrow by proving that amazing things can happen when you connect the previously unconnected. Cisco delivers support for both physical and virtual endpoints, and now extends support for Docker container endpoints through integration with the Cisco Application Policy Infrastructure Controller (APIC) and Project Contiv. Cisco ACI now also supports service insertion and chaining for any service device, without the need for a device package for policy coordination with the Cisco APIC. Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. Cisco also added integration of Docker containers through contributions to open source, offering customers a consistent policy model and greater deployment flexibility using the Cisco Application Policy Infrastructure Controller (APIC).

Dec. 1, 2015

Impala, Kudu, and the Apache Incubator's four-month Big Data binge

This leaves us with a great number of Apache Incubator projects that overlap, with each other and with certain Apache Software Foundation (ASF) top-level projects. The redundancy and competition are both drivers of innovation and fragmenting forces in the Big Data market. Then the ecosystem's only problem will be choosing between Hive, Impala, Spark SQL and Drill, all of which will be Apache projects. Well, the company open sourced it, as an Apache project, with acceptance into the Apache Incubator coming this past September. Just since August of this year, the Apache Incubator has welcomed, or been asked to consider, an array of new projects from the Big Data world.

Oct. 31, 2015

How Apache Kafka is greasing the wheels for big data

Originally developed at LinkedIn, Kafka is an open-source system for managing real-time streams of data from websites, applications and sensors. Since being conceived at LinkedIn, Kafka has gained high-profile support from companies such as Netflix, Uber, Cisco and Goldman Sachs. In general, there's a marked trend toward real-time data, Hopkins said. Up until 2013 or so, "big data was all about massive quantities of data stuffed into Hadoop," he said. That's where Apache Kafka comes in.

Oct. 30, 2015

How Apache Kafka is greasing the wheels for big data

Originally developed at LinkedIn, Kafka is an open-source system for managing real-time streams of data from websites, applications and sensors. Since being conceived at LinkedIn, Kafka has gained high-profile support from companies such as Netflix, Uber, Cisco and Goldman Sachs. "Besides ActiveMQ and RabbitMQ, another product offering similar functionality is Apache Flume, he noted; Storm and Spark Streaming are similar in many ways as well. In general, there's a marked trend toward real-time data, Hopkins said. Up until 2013 or so, "big data was all about massive quantities of data stuffed into Hadoop," he said.