>Elastic vs OpenAI
Elastic AI Company Profile & Rankings • OpenAI AI Company Profile & Rankings
AI Activity Comparison
Elastic
Elastic is a Dutch-American software company that provides a platform for enterprise search, observability, and cybersecurity. Its product enables users to search and analyze large-scale data, monitor system performance, and detect anomalies. Originally known as Elasticsearch, the company was founded in 2012 in Amsterdam, Netherlands, and maintains operational headquarters in both the Netherlands and San Francisco, California. The company was co-founded by Shay Banon, who initially built the core search engine in 2009. In 2015, the company acquired Found, a cloud-based Elasticsearch provider, and subsequently rebranded from Elasticsearch to Elastic to reflect its broader product offerings beyond search. Elastic is publicly traded on the New York Stock Exchange under the symbol ESTC.
OpenAI
OpenAI is an American artificial intelligence research organization consisting of a non-profit foundation and a for-profit public benefit corporation. It aims to develop safe and beneficial artificial general intelligence (AGI). The company is widely recognized for its GPT family of large language models, the DALL-E series of text-to-image models, and the Sora video generation model. Its release of ChatGPT in 2022 significantly increased public and commercial interest in generative AI. As of late 2025, its corporate structure gives the non-profit foundation controlling governance authority. The company's recent focus has been on commercial deployment, including the introduction of a platform designed to help companies deploy and manage AI agents.
Elastic versus OpenAI: Live 2026 Comparison
OpenAI leads in development velocity with 235 events this week (78.3x more than Elastic), while Elastic holds the edge in community sentiment at 63% positive. This comparison draws on 238 tracked events from the past 7 days — including product launches, research papers, and community discussions — scored through our 5-dimension scoring methodology. Our Hype Gap analysis shows OpenAI has more authentic positioning (gap: 3.7) compared to Elastic (10.0). Data refreshes every 5 minutes. Compare other AI companies →
Quick Answer
OpenAI is 78.3x more active (235 vs 3 events), while Elastic has better community sentiment (63% vs 24%). Choose OpenAI for cutting-edge features or Elastic for reliability. OpenAI has more honest marketing (hype gap: 3.7 vs 10.0).
Head-to-Head Stats
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
Key Insights
Shipping Velocity
OpenAI logged 235 events this week vs Elastic's 3 — a 78.3x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 232.3x (697 vs 3), suggesting this pace is consistent.
Community Sentiment
Elastic has 63% positive sentiment vs OpenAI's 24%. That 39-point gap is significant — it signals stronger user satisfaction and fewer community complaints about Elastic.
Marketing Honesty
OpenAI's hype gap of 3.7 vs Elastic's 10.0 means OpenAI delivers on its promises — marketing claims closely match actual capabilities.
Market Position
OpenAI at #1 outranks Elastic at #97 among 2,800+ AI companies. The 96-rank gap reflects different market tiers and adoption levels.
Momentum Trend
OpenAI is accelerating (18% velocity growth) while Elastic is flat — a diverging trend worth watching.
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Why Compare Elastic vs OpenAI?
Cross-Tier Comparison
Comparing OpenAI (#1) with Elastic (#97) reveals the 96-rank gap between different market tiers. Useful for understanding what separates top-tier from emerging players.
Who Compares These Companies
Enterprise Buyers
Comparing market leader against emerging alternative to balance stability vs innovation.
"OpenAI for enterprise-grade reliability, Elastic for cutting-edge features."
Investors & Analysts
Tracking momentum, activity levels, and market sentiment to identify growth opportunities.
"Monitor OpenAI's higher activity for potential upside."
Key Differences
- **Activity**: OpenAI shows 232 more events in 7 days, suggesting higher development velocity.
- **Community Perception**: Elastic has notably stronger positive sentiment (39% higher).
- **Overall Performance**: 991.5-point score gap indicates OpenAI has stronger combined metrics across activity, sentiment, and execution.
Making Your Decision
Consider Elastic if you value:
- • Stronger community sentiment
Consider OpenAI if you value:
- • Proven market leadership (#1)
- • Higher development activity
- • Higher substance-to-hype ratio
How Company Comparisons Work
Our comparison system analyzes real-time data across multiple dimensions to give you an objective, data-driven view of how companies stack up.
Real-Time Data Aggregation
We pull live data from 211 verified sources including GitHub commits, arXiv research papers, product launches, Reddit discussions, and tech news. Data refreshes every 5 minutes.
Apples-to-Apples Scoring
Companies operate at different scales, so we normalize all metrics for fair comparison. Events are scored with time decay (recent events count more) and source diversity multipliers.
5-Dimension Scoring
Each event is classified across 5 dimensions, then aggregated with time decay and source diversity weighting.
Visual Comparison
We present the data in multiple formats to help different decision-making styles:
- ✓Head-to-Head Table: Direct numeric comparison of all metrics
- ✓Radar Chart: Visual shape shows strengths and weaknesses
- ✓Key Insights: AI-generated narrative explaining what the numbers mean
- ✓Hype Detection: Marketing honesty comparison (over-promise vs over-deliver)
Always Current
Unlike static "best of" lists that get stale, our comparisons update every 5 minutes. When a company ships a major release or gets negative sentiment, you'll see it reflected immediately.
Why Trust These Comparisons?
100% algorithmic: No human bias, no pay-for-ranking, no editorial interference. The data speaks for itself.
Open methodology: You can see exactly how scores are calculated and what data sources we use.
Real-time validation: Every metric is verifiable through GitHub, arXiv, Reddit, and other public sources.
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