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Ratings and Reviews 0 Ratings
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What is Mezmo?
You have the ability to quickly centralize, oversee, analyze, and generate reports on logs from any source, regardless of the amount.
This comprehensive suite features log aggregation, custom parsing, intelligent alerts, role-specific access controls, real-time search capabilities, visual graphs, and log analysis, all integrated effortlessly.
Our cloud-based SaaS solution can be set up in just two minutes, gathering logs from platforms such as AWS, Docker, Heroku, Elastic, and various others. If you're utilizing Kubernetes, a simple login will allow you to execute two kubectl commands without hassle.
We offer straightforward, pay-per-GB pricing with no hidden fees or overage charges, along with the option of fixed data buckets.
You will only be billed for the data you actually use each month, and our services are backed by Privacy Shield certification while adhering to HIPAA, GDPR, PCI, and SOC2 regulations.
Your logs are secured both during transit and when stored, utilizing state-of-the-art military-grade encryption for maximum safety.
With user-friendly features and natural search queries, developers are equipped to work more efficiently, allowing you to save both time and money without needing specialized training.
This powerful toolset ensures operational efficiency and peace of mind while handling your log data.
What is Dash0?
Engineering teams that adopt OpenTelemetry often hit the same wall: instrumentation is standardized, but the backend receiving it is not. Dash0 was built to close that gap.
Every signal, whether a trace, a log record, a metric, or the resource emitting it, is stored against OpenTelemetry semantic conventions and correlated automatically. A request that ran long can be examined next to the log lines it produced and the pod it ran on, with no manual joins and no hopping between products.
Ingestion happens through a standard OTLP endpoint. Nothing proprietary gets deployed, and existing instrumentation keeps working untouched. Because the wire format is open, data can be redirected to a different destination later without changes to application code.
Prometheus users are treated as first-class. Full PromQL is supported, existing recording and alerting rules carry over, and Grafana dashboard definitions import directly. Cluster-level collection is handled by a dedicated Kubernetes operator covering workloads, nodes, and control plane components.
Visualization runs on Perses, with dashboard, check, and alert definitions expressed declaratively and kept under version control. Investigations start broad and get narrow: heatmaps expose the shape of a latency distribution, then filters on high-cardinality attributes isolate the affected requests.
Machine learning is applied to telemetry during processing rather than surfaced as a chatbot. Log AI assigns severity to records that arrive without it, discovers recurring patterns, and clusters similar entries, turning noisy third-party output into something queryable. For failing requests, the SIFT methodology structures the path from symptom to root cause.
Consumption stays transparent throughout. Teams can identify which services, attributes, and log volumes are responsible for their bill and reduce them at the source, before the invoice arrives.
Integrations Supported
Amazon Web Services (AWS)
GitHub
Heroku
PagerDuty
Slack
Vercel
.NET
Argo CD
BigHand AlertManager
Cilium
Integrations Supported
Amazon Web Services (AWS)
GitHub
Heroku
PagerDuty
Slack
Vercel
.NET
Argo CD
BigHand AlertManager
Cilium
API Availability
Has API
API Availability
Has API
Pricing Information
Pay per GB pricing model. No contract required
Free Version
Free Trial Offered?
Pricing Information
$0.00 per month
Completely transparent usage based pricing
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Mezmo
Date Founded
2015
Company Location
United States
Company Website
www.mezmo.com
Company Facts
Organization Name
Dash0
Date Founded
2023
Company Location
United States
Company Website
www.dash0.com
Categories and Features
Log Management
Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs
Categories and Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Database Monitoring
Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting
IT Alerting
Alert Noise Reduction
Alert Routing
Dynamic Notifications
Enriched Incident Context
Escalation Policies
Incident History Audit
Multi-User Alerting
Multiple Alert Types
On-Call Management
Rich HTML Email Notifications
IT Infrastructure Monitoring
Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring
Log Management
Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs
Website Monitoring
Availability Testing
Event Logs
Event-Based Notifications
FTP Monitoring
Mail Server Monitoring
Maintenance Scheduling
Performance Metrics
Real Time Monitoring
Transaction Monitoring
Uptime Reporting