ElastiFlow

ElastiFlow, founded in Oakland, California, is a network observability platform that specializes in collecting, analyzing, and visualizing unsampled flow data to provide deep insights into network performance and security.

Reviewed by 7wData

On this page

Profile

ElastiFlow provides network observability solutions that help enterprises monitor and secure their network infrastructure by analyzing unsampled flow data.

ElastiFlow, founded in Oakland, California, is a network observability platform that specializes in collecting, analyzing, and visualizing unsampled flow data to provide deep insights into network performance and security. The company emerged from a need to address the high costs and inefficiencies of traditional flow data storage, launching its Time Series Data Streams (TSDS) product to reduce storage costs by up to 70%. In December 2023, ElastiFlow secured $3 million in seed funding led by Venture Guides, which it has used to expand its team and accelerate product innovation.

The platform integrates with tools like Elastic, Kibana, OpenSearch, and Kafka, enabling enterprises to correlate network data with security and application monitoring. ElastiFlow serves a growing community of over 40,000 active users and processes more than 400,000 flows per second per collector. Recent updates include the release of ElastiFlow 6.2, which introduced a Unified SNMP Collector and enhanced features for device discovery and data output. The company has also published case studies highlighting its use in educational institutions and web hosting businesses, demonstrating its versatility across sectors.

Track ElastiFlow and 240+ vendors.

335k+ subscribers read the daily AI & data note. One email, both newsletters. Unsubscribe anytime.

Who buys this

  • Enterprises with large-scale network infrastructure
  • Educational institutions managing multi-campus networks
  • Web hosting providers requiring robust network security
  • DevOps and NetOps teams needing real-time network insights
  • Organizations leveraging AI/ML for network traffic analysis

Strengths and what to watch

Strengths

  • Reduces unsampled flow data storage costs by up to 70% with TSDS technology
  • Integrates with major data platforms like Elastic, Kafka, and OpenSearch for seamless correlation of network and security data
  • Processes over 400,000 flows per second per collector, ensuring scalability for large enterprises

Watch for

  • Competition from established network monitoring players with broader feature sets
  • Dependence on integrations with third-party platforms like Elastic and Kafka
  • Limited public disclosure of pricing, which may create friction for potential customers

Recent moves

Key Information

Founded
2020
Headquarters
Oakland, California

Frequently Asked Questions

What is ElastiFlow?

ElastiFlow is a network observability platform that analyzes unsampled flow data to monitor and secure enterprise networks. Founded in Oakland, it reduces storage costs by 70% with TSDS technology, processes 400,000 flows/second, and integrates with Elastic, Kibana, and Kafka. Used by 40,000+ users across education and hosting sectors.

How does ElastiFlow reduce network monitoring costs?

ElastiFlow's Time Series Data Streams (TSDS) technology cuts unsampled flow data storage expenses by up to 70% compared to traditional methods. This efficiency comes from optimized data collection and processing without sampling, maintaining full visibility while lowering infrastructure overhead for enterprises.

What tools does ElastiFlow integrate with?

ElastiFlow connects with Elastic, Kibana, OpenSearch, and Kafka for comprehensive network data correlation. These integrations allow teams to combine flow data with security monitoring and application performance metrics in existing dashboards, streamlining observability workflows across DevOps and NetOps teams.

Can ElastiFlow handle large-scale enterprise networks?

Yes, ElastiFlow processes over 400,000 flows per second per collector, designed for enterprises with extensive infrastructure. Case studies demonstrate its use in multi-campus education networks and high-traffic web hosting environments, where scalability and real-time analysis are critical.

What's new in ElastiFlow 6.2?

Version 6.2 introduced a Unified SNMP Collector for broader device monitoring and enhanced discovery features. The update improved data output flexibility, helping enterprises correlate network performance with other operational metrics more effectively across their observability stack.

Who uses ElastiFlow?

Primary users include enterprises with large networks, educational institutions, web hosting providers, and DevOps teams. ElastiFlow serves organizations needing detailed flow analysis without sampling, particularly those using Elastic or Kafka for security monitoring and wanting to reduce storage costs.

Sources

  1. www.elastiflow.com — $3 million seed funding round led by Venture Guides
  2. www.elastiflow.com — Use case for home network monitoring with ElastiFlow
  3. www.elastiflow.com — Release of ElastiFlow 6.2 with Unified SNMP Collector
  4. www.trustradius.com — Pricing and deployment options for ElastiFlow