TIBCO Spotfire IoT Analytics Pricing & Demo

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TIBCO Spotfire
Online
California, USA
1997
$1BN to $5BN
Enterprise
95 Likes
73 Buyers Negotiating

TIBCO Spotfire USP

Tibco IOT Analytics solution gathers data from sensors, combines it, runs logic, and connects to the user's cloud services. It allows the user's edge devices to execute app logic independent of their core systems. Tibco's predictive analytics and modeling tools facilitate users to gain insights on Internet of Things data so that they can act in real time. The solution simplifies connectivity with a flow-based, web UI for building integration applications for Internet of Things edge devices. Project Flogo is the lightest IOT connectivity framework that offers a host of connectity features. Request TIBCO Spotfire Pricing to get more information.

Summary

Tibco offers four products in the IOT Analytics area, namely: Tibco Streaming - TIBCO Streaming facilitates automated decision-making and predictive models so that users could taking meaningful action on their data at the point of discovery. It analyzes real-time data feeds with high throughput with shorter development cycles, dramatically lower programming costs, built-in continuous integration and deployment capabilities, reduced hardware and operational expenses, and faster time-to-value, real-time digital business benefits are financially within reach. Tibco Spotfire - It is a complete analytics solution that makes it easier for the users to visualize new discoveries in data. The solution delivers numerous features, including visual analytics, data wrangling, predictive analytics, location analytics, and streaming analytics. Tibco Flogo Enterprise - It allows developers to create microservices or functions with a browser based flow designer. It enables organizations to collect data or analyze locally on the smallest of IoT devices. Tibco Cloud Live Apps - It is the ultimate platform for developing scalable business applications.

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Strengths
  • +10
    Batch Data Processing
  • +12
    Directly
  • +11
    Real-time Streaming Data Processing (Data-in-Motion)
  • +6
    Semi-Structured Data
  • +5
    Structured Data
  • +7
    Unstructured Data
  • +8
    Hosted / On-Cloud
  • +7
    On-Premise
  • +12
    Predictive Analytics
  • +7
    Programming Language (such as R, Python, Java)
  • +12
    Remote Support
  • +10
    Servers (such as Hadoop, Apache)
  • +11
    Customer Service
  • +6
    Finance
  • +9
    Full Time Equivalent
  • +7
    Human Resources (HR)
  • +5
    Marketing
  • +14
    Sales
  • +10
    Supply Chain
  • +8
    Charts and Graphs
Weaknesses
  • -9
    Steep Learning Curve
  • -8
    Slow Import-Export Feature
  • -13
    Through Partners / Third-Party Vendors
  • -10
    Descriptive Analytics
  • -11
    Diagnostics Analytics
  • -13
    Prescriptive Analytics
  • -9
    Databases
  • -8
    Microsoft Corporation Office (including Spreadsheet)
  • -11
    On-Site Support
  • -11
    Any other Integration type
  • -8
    Operations/Production
  • -11
    Per User Basis
  • -9
    Product Development
  • -10
    Subscription / Licensing
  • -9
    Data Profiling
  • -8
    Data Quality
  • -11
    Data Virtualization
  • -12
    Protocols for Data Collection (such as LAN, DNP3, SCADA, etc.)
  • -13
    Any Other Data Preparation Features
  • -9
    Any Other Data Presentation Features
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  SME
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