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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Sawmills stands out as the pioneering smart telemetry management platform that empowers businesses to manage their logs, metrics, and traces efficiently before incurring expenses from traditional observability tools. Its innovative use of AI for noise detection sets it apart from other solutions in the market, allowing Sawmills to effectively minimize waste, enhance data integrity, and enforce governance measures. Unlike conventional filtering methods and manually crafted rules, which often fall short in scalability, Sawmills leverages AI to analyze telemetry data in real-time, identifying noise patterns, duplicate events, low-value attributes, excessive cardinality, PII/policy breaches, and faulty schemas. For every issue detected, Sawmills suggests a corresponding action—options include filtering, redacting, aggregating, downsampling, normalizing, enriching, and it features the ability to auto-remediate with necessary approvals, service level agreements, and rollbacks. This proactive approach not only shifts oversight upstream but also significantly decreases waste, enhances the quality of the data being collected, and automates governance, ultimately leading to more efficient data management practices across enterprises.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Declarative Webhooks Yes 
Slack Yes 

Integrations

Declarative Webhooks No 
Slack No 

Pricing Details

$0
Pricing is dependent on ingestion. Average customers are ROI positive within months.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Sawmills.ai

Founded

2024

Country

United States

Website

sawmills.ai

Vendor Details

Company Name

Sift

Country

United States

Website

www.siftstack.com

Product Features

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Alternatives

Alternatives

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