360 Score: 2.06
For Vendors

Striim in IoT Analytics

  • Palo Alto, California, United States
  • 2012
Company Overview
Striim has developed a platform that makes it easy for organizations to gather, process, and deliver real-time data across varied environments in the cloud or on-premise. The platform allows organizations to build streaming data pipelines to cloud environments, such as Microsoft Azure, Amazon AWS, and Google Cloud Platform as well as Kafka, Hadoop, NoSQL and relational databases with reliability, security, and full scalability. It also provides built-in pipeline monitoring and validation abilities to trace and confirm the collection, processing, and delivery of streaming data.
USP

Striim’s patented software collaborates real-time data collection, stream processing, pipeline monitoring, and real-time delivery with validation in a single product. It continuously collects a wide variety of high-volume, high-velocity data from organization's databases , log files, messaging systems and IoT devices in real time. The platform also integrates rapidly with existing data management and ML solutions to operationalize earlier defined models via stream processing. The platform is robust, sclaable, secure and reliable.

Striim Popular Comparisons
Evaluated against 276 key buying criteria
Strengths
  • Directly
  • Real-time Streaming Data Processing (Data-in-Motion)
  • Semi-Structured Data
  • Structured Data
  • Unstructured Data
  • Hosted / On-Cloud
  • On-Premise
  • Descriptive Analytics
  • Diagnostics Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Databases
  • Programming Language (such as R, Python, Java)
  • Remote Support
  • Servers (such as Hadoop, Apache)
  • Any other Integration type
  • Marketing
  • Operations/Production
  • Per User Basis
  • Product Development
Weaknesses
  • Batch Data Processing
  • Through Partners / Third-Party Vendors
  • Microsoft Corporation Office (including Spreadsheet)
  • On-Site Support
  • Customer Service
  • Finance
  • Full Time Equivalent
  • Human Resources (HR)
  • Supply Chain
  • Data Profiling
  • Location
  • Master Data Management (MDM)
  • Protocols for Data Collection (such as LAN, DNP3, SCADA, etc.)
  • Speech/Audio
  • Visualization on Mobile Devices
  • Any Other Data Preparation Features
  • Any Other Data Presentation Features
  • Other Data formats
  • Building and Home Automation
  • Connected Health
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#1 Product Features and Functionality / Data Coverage
#2 Product Features and Functionality / Type of Data
#3 Product Features and Functionality / Data Analysis Techniques
#4 Product Features and Functionality / Data Presentation Features
#5 Product Features and Functionality / Data Processing Features

Striim QUADRANTS

Striim has chosen it’s strengths in these 3 territories
  • Niche Quadrant

    All-North America

  • Niche Quadrant

    BFSI-All

  • Niche Quadrant

    Manufacturing-All