Artificial Intelligence | Machine Learning Coralogix | Streaming Analytics for Observability Data


Enterprise, Computer Software, Log Analytics & Monitoring, Machine Learning, SaaS, Big Data, DevOps, Infrastruct San Francisco, CA, United States

Coralogix

Artificial Intelligence | Machine Learning


Coralogix | Streaming Analytics for Observability Data

Coralogix

Computer Software, Log Analytics & Monitoring, Machine Learning, SaaS, Big Data, DevOps, Infrastruct


San Francisco, CA, United States

We’re rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing. By enabling users to define different data pipelines per use case, we provide deep insights for less than half the cost.

With the exponential growth of data, companies often struggle to achieve observability due to the prohibitive costs of indexing and storing their data before analysis. Our solution leverages stateful streaming technology to analyze pre-indexed data so teams no longer need to choose between cost and coverage. Today, over 10,000 DevOps and Security engineers around the world use Coralogix daily to monitor their stacks and fix production problems faster. Generate infinite insights for all observability data at scale – when and where you need them – with no limitations. 

As data volumes continue to grow, traditional monitoring approaches can no longer ensure observability for modern systems. Coralogix uses a unique data streaming analytics pipeline – called Streama© – to analyze all observability data in real-time and provide long-term trend analysis without indexing. Centralize and analyze your logs without reliance on indexing, and take full advantage of the wealth of information in your data with real-time alerting and monitoring that scales with your systems. Monitor business-level logic using all metric data, including infrastructure, network, security, and application metrics visualized in custom data maps with no limitations on labels or granularity. Correlate end-to-end event flows and performance bottlenecks across distributed architectures with in-stream analysis of your tracing data and the full context of all of your observability data. Ensure end-to-end security with automated posture and vulnerability assessments and advanced threat protection across your machi

 

B2B

1 to 25

Series D

$238.2M

Scaling Up

2014

 
 

Computer Software

Increase Efficiency

Increase Efficiency

 
 

Analytics
Service

Yes

Active

 
 

   Machine Learning


Developer Tools

Developer Tools


Text

Text

Structured

Structured

 

   Software


DevOps

DevOps

Python

Python

Java

Java

GO

GO

Javascript/Node

Javascript/Node

Angular

Angular

AWS

AWS

Kafka

Kafka


Machine Learning Algorithm

Machine Learning Algorithm

Deep Learning Algorithm

Deep Learning Algorithm

 
 

View All

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Data Scientist

Remote, Remote

Big Data Engineer

Tel Aviv, Remote

Data Scientist

Remote, Remote

VP Marketing

Remote, Remote

Solutions Engineer

Tel Aviv, Remote

 

AI/ML Professionals

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11

2

$98.5M

Company was founded 2014 and it took almost 7 years (Jul 2021) to raise first external round

 
 

Date

Round

$ Raised

Investors

06/01/2022

Series D

$142M

Advent International, Brighton Park Capital, Greenfield Partners, Joule Ventures, Maor Investments, O.G. Tech, Red Dot Capital Partners, Revaia, StageOne Ventures

Date : 06/01/2022

Round: Series D

$ Raised: $142M

Investors: Advent International, Brighton Park Capital, Greenfield Partners, Joule Ventures, Maor Investments, O.G. Tech, Red Dot Capital Partners, Revaia, StageOne Ventures

07/29/2021

Series C

$55M

StageOne Ventures, O.G. Tech, Janvest Capital Partners, Greenfield Partners, 2B Angels

Date : 07/29/2021

Round: Series C

$ Raised: $55M

Investors: StageOne Ventures, O.G. Tech, Janvest Capital Partners, Greenfield Partners, 2B Angels

 

Investors

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Ariel Assaraf


Ariel Assaraf
CEO & Co-Founder

Yoni Farin


Yoni Farin
CTO & Co-founder

Lior Redlus


Lior Redlus
Co-founder and Chief Data Science Officer

Matt Handler


Matt Handler
President & COO

Harel Ben-Attia


Harel Ben-Attia
Chief Architect

Ron Davidi

Ron Davidi
Chief Sales Officer

 
 

Potential Customers

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