Elastic
UpdatedElastic, founded in 2012 by Shay Banon, emerged from open-source search (Elasticsearch, released 2010) into a public company listed on the NYSE in October 2018.
Profile
Unified platform for searching data, monitoring infrastructure and applications, and detecting security threats, now with AI agent context engineering built in.
Elastic, founded in 2012 by Shay Banon, emerged from open-source search (Elasticsearch, released 2010) into a public company listed on the NYSE in October 2018. Headquartered in Amsterdam with significant U.S. operations, Elastic has evolved from a search-focused vendor into a platform spanning search, observability, and security built on a unified data backbone.
CEO Ashutosh Kulkarni took charge in January 2022 (after joining as chief product officer in 2021) and repositioned the company around "Search AI." The platform now spans Elasticsearch (search and vector database), Elastic Observability (logs, metrics, APM), Elastic Security (SIEM/XDR), and newer offerings like Agent Builder for AI agent context engineering and Elastic Inference Service for LLM integrations.
Recent financial performance shows strong ARR growth: Q3 FY2026 (ending January 31, 2026) revenue reached $450 million, up 18 percent year-over-year, with net revenue retention at 119 percent. However, the stock has declined sharply—from $10.27 billion market cap in January 2025 to approximately $5.5 billion by May 2026, reflecting both broader market skepticism around AI infrastructure spending and Elastic's internal strategic shift. In 2023, the company laid off 13 percent of its workforce (nearly 400 employees) as it exited unprofitable small-business segments, pivoting focus to enterprise and Fortune 500 customers, whom the company claims represent "50 percent of the Fortune 500."
The competitive landscape is fractured. Splunk dominates enterprise security with superior out-of-the-box detection rules but charges 5-10 times Elastic's price at scale. AWS's OpenSearch offers a permissively licensed fork for organizations skeptical of Elastic's evolving licensing. Elastic's differentiation rests on hybrid keyword-vector search, algorithmic efficiency gains (DiskBBQ, October 2025), and depth of cloud partnerships.
Strategic moves in 2025 include the October acquisition of Jina AI (multimodal embeddings; Han Xiao, former CEO, now Elastic's VP of AI), $500 million in share buybacks, dual Google Cloud Partner of the Year awards for AI, and native integration with Google Vertex AI. The company also secured AWS Agentic AI Specialization status and integrated Elastic Observability with Amazon Bedrock AgentCore. These moves position Elastic as a grounding layer for enterprise LLM applications, though market adoption rates and willingness to commit long-term to Elastic's platform over point solutions remain uncertain.
Who buys this
- Fortune 500 enterprises running observability and SIEM on unified Elasticsearch infrastructure
- Financial services and telecom firms requiring cloud-native security analytics and threat detection
- E-commerce and SaaS companies building search experiences and customer support workflows
- DevOps and infrastructure teams consolidating logs, metrics, and APM across multi-cloud environments
- Generative AI developers building retrieval-augmented generation (RAG) and agentic workflows
Publicly disclosed clients
- PepsiCo
- Docusign
- IBM
- Comcast
- Jaguar Land Rover
- Netflix
- Accenture
Strengths and what to watch
Strengths
- Lowest total cost of ownership in observability and SIEM vs. Splunk (5-10x cheaper at comparable scale)
- Hybrid keyword-vector retrieval and vector search efficiency (DiskBBQ algorithm) position it well for RAG and AI workloads
- Deep cloud partnerships (native Vertex AI integration, Bedrock AgentCore support, AWS Agentic AI Specialization) with dual Google Cloud Partner of the Year awards
Watch for
- Stock price volatility (down 46% from January to May 2026) and market cap contraction suggest investor skepticism about AI infrastructure spending and platform stickiness
- Enterprise customer concentration and SMB exit (2023 layoffs of 400 employees) reduce diversification; revenue growth moderated to 16-20% YoY despite strong enterprise demand
- Competitive pressure from Splunk (security-first customers may prefer its maturity) and OpenSearch (open source fork) threatens lock-in on long-term contracts
Recent moves
- 4mo ago Elastic reports Q3 FY2026 revenue of $450 million, up 18% YoY; beats EPS estimates; 1,660+ enterprise customers with $100k+ ACV
- 7mo ago Elastic reports Q2 FY2026 revenue of $423 million, up 16% YoY; net revenue retention 119%
- 8mo ago Elastic receives dual Google Cloud Partner of the Year awards for AI; native Vertex AI integration launched
- 8mo ago Elastic completes acquisition of Jina AI, integrating multimodal embeddings and Han Xiao as VP of AI
- 9mo ago Elastic launches $500 million share repurchase program
Key Information
- Industry
- Database
- Founded
- 2012
- Employees
- 1001-5000
- Headquarters
- Amsterdam / Mountain View
Frequently Asked Questions
What is Elastic and what does it do?
Elastic is a unified platform for searching data, monitoring infrastructure and applications, and detecting security threats, with built-in AI agent context engineering. Founded in 2012 and publicly traded since 2018, it spans Elasticsearch search, vector database, observability, and security capabilities.
How does Elastic's pricing compare to Splunk?
Elastic costs five to ten times less than Splunk at comparable scale, offering significantly lower total cost of ownership for observability and SIEM. Exact pricing depends on use case, data volume, and enterprise tier; volume-based agreements are typical for Fortune 500 customers.
Can I use Elasticsearch for RAG and AI applications?
Yes. Elastic's hybrid keyword-vector search and DiskBBQ algorithm optimize vector retrieval efficiency, making it suitable for retrieval-augmented generation (RAG) and agentic AI workflows. The platform integrates with Google Vertex AI, Amazon Bedrock, and LLM services to ground enterprise AI applications.
What does Elastic Observability do?
Elastic Observability consolidates logs, metrics, and application performance monitoring (APM) data from multi-cloud environments into a single unified platform. It helps DevOps and infrastructure teams monitor system health in real-time, quickly troubleshoot underlying issues, and optimize overall cloud resource allocation.
What is Elastic Security used for?
Elastic Security provides SIEM and XDR (extended detection and response) capabilities to detect and investigate security threats across enterprise infrastructure. It integrates with Amazon Bedrock AgentCore and analyzes logs, metrics, and threat data to identify anomalies and protect against attacks.
Did Elastic acquire Jina AI recently?
Yes. In October 2025, Elastic completed its acquisition of Jina AI, a multimodal embeddings company. Han Xiao, Jina's former CEO, joined Elastic as VP of AI. This acquisition strengthens Elastic's AI capabilities for RAG and agentic workflows on the platform.
How Elastic compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Elastic
- Positioning
- Unified platform for searching data, monitoring infrastructure and applications, and detecting security threats, now with AI agent context engineering built in.
- Customer segments
- Fortune 500 enterprises running observability and SIEM on unified Elasticsearch infrastructure
- Strengths
- Lowest total cost of ownership in observability and SIEM vs. Splunk (5-10x cheaper at comparable scale)
- Watch for
- Stock price volatility (down 46% from January to May 2026) and market cap contraction suggest investor skepticism about AI infrastructure spending and platform stickiness
- Recent moves
- Elastic completes acquisition of Jina AI, integrating multimodal embeddings and Han Xiao as VP of AI
Splunk (Cisco)
- Positioning
- Enterprise SIEM and machine data platform acquired by Cisco in 2024 for $28B, targeting security operations consolidation at scale.
- Customer segments
- Large enterprise SOC teams, hybrid cloud organizations, regulated industries requiring full-stack security and observability.
- Strengths
- Talos threat intelligence natively integrated into SIEM with federated Snowflake search for cost-efficient log storage.
- Watch for
- Pricing increases post-acquisition with SPL learning curve creating high administrative dependency and slow query performance at volume.
- Recent moves
- Cisco acquired Galileo Technologies for AI observability in April 2025, adding LLM monitoring to the Splunk platform.
Datadog
- Positioning
- Cloud-native observability and security platform dominant among AWS-heavy enterprises, expanding from APM into SIEM and AI infrastructure monitoring.
- Customer segments
- Cloud-native enterprises, DevOps and SRE teams, AI infrastructure operators including 14 of the top 20 AI companies.
- Strengths
- Cross-product adoption depth: 55 percent of customers use 4 or more products, with Bits AI delivering 70-90 percent MTTR reductions.
- Watch for
- Per-host billing plus custom metrics surcharges routinely cause billing surprises. Container misconfiguration can trigger 10x cost increases unexpectedly.
- Recent moves
- Bits AI SRE and Security Analyst agents reached general availability in December 2025, now used by 2,000-plus enterprise customers.
Dynatrace
- Positioning
- Enterprise APM and observability vendor positioned highest in Gartner MQ for Ability to Execute, targeting regulated and cloud-native workloads.
- Customer segments
- Enterprises in finance, healthcare, and government managing complex distributed systems with strict compliance and reliability requirements.
- Strengths
- Davis AI delivers automated root-cause analysis across full stack without manual correlation rules or query writing.
- Watch for
- Pricing prohibitive for mid-market. Implementation requires dedicated expert resources. Alert fatigue and complex UI frustrate teams post-deployment.
- Recent moves
- Dynatrace acquired Bindplane in April 2026, adding OpenTelemetry-native telemetry pipeline for real-time data filtering and routing.
Sources
- www.elastic.co — Product portfolio (Elasticsearch, Kibana, Observability, Security, Agent Builder), customer base (50% Fortune 500), positioning as Search AI company
- www.elastic.co — Leadership team: Ashutosh Kulkarni (CEO), Shay Banon (Founder/CTO), and executive leadership
- www.elastic.co — 2025 Google Cloud partnership achievements, Vertex AI native integration, Partner of the Year awards, security integrations
- www.businesswire.com — Q2 FY2026 financial results: $423M revenue (+16% YoY), $398M subscription revenue (+17% YoY), net revenue retention 119%
- www.investing.com — Q3 FY2026 results: $450M revenue (+18% YoY), $426M subscription revenue (+19% YoY), 1,660+ enterprise customers with $100k+ ACV
- finance.yahoo.com — Jina AI acquisition completion October 9, 2025; Han Xiao appointed VP of AI; strategic focus on multimodal embeddings and RAG
- www.cnbc.com — Ashutosh Kulkarni CEO appointment (January 2022), previous role at McAfee, replaces Shay Banon as CEO
- www.elastic.co — Shay Banon founder history, origin of Elasticsearch from Compass project, 2009 initial code, 2012 company founding