Logz.io

Logz.io

Verified
Provides a scalable and intelligent machine data analytics platform built on ELK and Grafana for monitoring modern applications. Learn more

Financials

Estimates*

Get premium to view all results
Edit
Revenues, earnings & profits over time
USD20192023
Revenues00000000
EBITDA00000000
Profit00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000
  • Edit
Get premium to view all results
DateInvestorsAmountRound
-investor

$0.0

round
investor

$0.0

round
investor investor

$0.0

round
investor investor investor

$0.0

round
investor investor investor investor

$0.0

round
investor investor investor investor investor

$0.0

round

$23.0m

Valuation: $260m

Series E
Total Funding000k

Recent News about Logz.io

Edit
More about Logz.ioinfo icon
Edit

Logz.io is a technology startup that operates in the data analytics and observability market. The company provides a platform that enables businesses to analyze their data more quickly and efficiently, thereby accelerating the troubleshooting process. This is achieved through the use of popular open-source monitoring tools such as OpenSearch for log analytics, Prometheus for metric analytics, and OpenTelemetry and Jaeger for trace analytics.

Logz.io's platform is designed to serve a wide range of clients, from small businesses to large corporations, who need to monitor and analyze their data in real-time. This could include tech companies, financial institutions, healthcare providers, or any organization that relies heavily on data for decision-making and operational efficiency.

The business model of Logz.io is likely based on a subscription or usage-based pricing model, where clients pay for the services and capacity they use. The company makes money by providing high-performance log analytics at any scale, centralized metrics monitoring and alerting, and security event centralization and investigation.

Logz.io also offers a feature to reduce total data and costs by removing unnecessary or 'noisy' data. This not only helps in reducing costs but also saves engineering time by offloading observability tasks. The platform is compatible with various cloud services like Azure Kubernetes Service, Azure Container Instances, Azure Virtual Machines, and AWS Elastic Load Balancing, making it versatile and easy to integrate into existing systems.

Keywords: Data Analytics, Observability, Open-Source Monitoring Tools, Log Analytics, Metric Analytics, Trace Analytics, Centralized Monitoring, Security Event Investigation, Cloud Compatibility, Cost Reduction.

Tech stack

Group
Tech stackLearn more about the technologies and tools that this company uses.
Book a Demo