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ELASTIC

Netfigo Verdict
on Elastic

Shay Banon started writing Elasticsearch in 2004 while his wife was in culinary school in London. He was trying to build a recipe search engine. He never built the recipe site. He accidentally built the search infrastructure that now powers Airbnb, Netflix, Uber, and thousands of enterprises. Elastic went public in 2018 at a $2.5 billion valuation. It crossed $1 billion in annual revenue in 2023. The guy who wanted to help his wife find recipes built a billion-dollar search platform. Open source done right.

Founded

2012

HQ

San Francisco, California

Total Raised

$162M (pre-IPO)

Founder

Shay Banon, Steven Schuurman, Uri Boness, Simon Willnauer

Status

Public (NYSE: ESTC)

THE ORIGIN STORY

The origin story starts in 2004 in a London flat. Shay Banon, a software developer, had moved to London with his wife Dana, who was attending Le Cordon Bleu culinary school.

He was between jobs and decided to build her a recipe search engine. He needed a better search library, got frustrated with the available options, and started building something on top of Apache Lucene.

The first version was called Compass. It was good but too complex to share.

Banon rewrote it from scratch as a clean, distributed search server with a simple REST API and released it as open source in 2010 under the name Elasticsearch. The developer community went berserk.

Downloads exploded. Companies started using it in production without even asking.

Banon realized he had a real product on his hands. In 2012 he co-founded Elasticsearch B.V.

with Steven Schuurman, Uri Boness, and Simon Willnauer, raising $10 million from Benchmark Capital. The company later rebranded to Elastic and went public on the NYSE in October 2018.

WHAT THEY ACTUALLY DO

Elastic operates on an open-core model. The core Elasticsearch engine is free and open source — always has been.

Elastic monetizes through two channels. First, Elastic Cloud: a fully managed cloud service that runs Elasticsearch on AWS, Azure, and Google Cloud.

Users pay based on usage. Second, enterprise subscriptions: large companies pay for premium security, machine learning, and monitoring features not available in the free tier.

The cloud business has become the dominant revenue driver, growing faster than the on-premise subscription business. As of FY2024 Elastic reported approximately $1.27 billion in annual revenue.

THE PRODUCTS

Elasticsearch: the distributed search and analytics engine that started it all. Used by the world's largest websites for full-text search, log analytics, and application monitoring.

Kibana: the visualization dashboard for Elasticsearch data. Where you go to build charts, dashboards, and exploratory data analysis on top of Elasticsearch.

Logstash: the data processing pipeline — ingests data from multiple sources, transforms it, and ships it into Elasticsearch or other destinations. Beats: lightweight data shippers that sit on servers and send system metrics, log files, and network data to Elasticsearch.

Elastic Security: a SIEM (Security Information and Event Management) platform for threat detection and incident response. Elastic Observability: APM (Application Performance Monitoring), infrastructure monitoring, and log management in a unified platform.

HOW THEY GREW

Elastic grew almost entirely through developer love and open source distribution. No sales team knocked on doors in the early years.

Developers downloaded Elasticsearch, used it in production, told their colleagues, and eventually the usage spread to enterprise departments that needed formal support contracts. This bottom-up, product-led growth model meant Elastic had tens of thousands of production deployments before it signed its first enterprise deal.

The ELK Stack — Elasticsearch, Logstash, and Kibana — became the de facto standard for log management and observability, which locked in whole engineering organizations. The Elastic Cloud launch in 2015 gave the company a way to capture revenue from users who would otherwise never buy a license.

The IPO in 2018 gave it capital to build out security and observability features to compete with Splunk and Datadog.

THE HARD PART

Elastic has been in a running battle with Amazon Web Services. In 2015 Amazon launched its own managed Elasticsearch service (Amazon Elasticsearch Service) on AWS infrastructure.

It was built on top of Elastic's open source code and competed directly with Elastic Cloud — without paying Elastic a dime. Elastic responded in 2021 by changing its license from the open Apache 2.0 license to the Server Side Public License (SSPL), which prevents cloud providers from offering the software as a managed service without contributing back.

Amazon refused to comply and instead forked the old open source version into a new project called OpenSearch. The fight between Elastic and Amazon became a landmark case in the open source software wars about who profits from open source in the cloud era.

MONEY TRAIL

Series A

2012 · Led by Benchmark Capital

$10M raised

Series B

2013 · Led by Benchmark Capital

$24M raised

Series C

2014 · Led by New Enterprise Associates

$70M raised

Series D

2015 · Led by Formation8

$50M raised

IPO

2018 · Led by Public (NYSE: ESTC)

$251M raised

$2.5B valuation

WHO BACKED THEM

Benchmark Capital (Series A, 2012), New Enterprise Associates (Series B-C), Formation8 (Series D). Post-IPO: public market shareholders.