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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Managing visible data is significantly simpler. Transform your operations data into engaging visuals with user-friendly tools designed for seamless accessibility. Empower operators, engineers, analysts, and reporting teams within your organization by providing them with direct access to vital information. Develop impactful monitoring dashboards and reusable reports through an intuitive interface. Say goodbye to complex SQL queries and unnecessary IT requests. Our extensive library of on-demand instructional videos will help you get started quickly. You can create a single display or report and effortlessly replicate it across numerous assets located at various sites. With built-in access to Asset Framework, our visualization features allow for quick switching between different equipment, such as Pump 11 and Pump 8, without hassle. Ensure that every KPI, event, and batch summary report from the PI Server is easily accessible to all users in their preferred tools. By consolidating institutional knowledge into one reliable source, you can enhance usability and facilitate better decision-making throughout the organization. Ultimately, this approach streamlines operations and fosters a culture of data-driven insights.

Description

Sift serves as a comprehensive observability platform specifically designed for contemporary, mission-critical hardware systems, equipping engineers with the necessary infrastructure and tools to efficiently ingest, store, normalize, and analyze high-frequency, high-cardinality telemetry and event data sourced from design, validation, manufacturing, and operations, all centralized into a single, coherent source of truth instead of relying on disjointed dashboards and scripts. By bringing various data types together, Sift aligns signals from different subsystems and organizes information to facilitate rapid searches, visual assessments, and traceability, thereby enabling teams to identify anomalies, conduct root-cause analysis, automate validation processes, and troubleshoot hardware with precision in real-time. Additionally, it enhances automated data reviews, allows for no-code visualization and querying of extensive datasets, supports ongoing anomaly detection, and integrates seamlessly with engineering workflows, including CI/CD pipelines and tools, thereby fostering telemetry governance, collaboration, and knowledge capture across previously isolated teams. This holistic approach not only improves operational efficiency but also empowers teams to make informed decisions based on rich, actionable insights derived from their telemetry data.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AVEVA PI System
App Orchid
PreCognize
VEERUM
Visplore
dataPARC Historian

Integrations

AVEVA PI System
App Orchid
PreCognize
VEERUM
Visplore
dataPARC Historian

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AVEVA

Founded

1967

Country

United Kingdom

Website

www.osisoft.com/pi-system/pi-core/visualization

Vendor Details

Company Name

Sift

Country

United States

Website

www.siftstack.com

Product Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Product Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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