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Elastic N.V. (symbol: ESTC) is a leading software company that empowers organizations worldwide with real-time insights by making structured and unstructured data usable for various applications. Founded in 2012, Elastic is the brainchild of the creators of Elasticsearch, Kibana, Beats, and Logstash—collectively known as the Elastic Stack. These open-source projects have grown into powerful tools for search, logging, security, and analytics use cases.
Elastic's global community boasts more than 80,000 members spread across 45 countries, reflecting its significant impact and reach. The company's products have been downloaded over 100 million times, showcasing their widespread adoption and reliability. Elastic's solutions are trusted by a plethora of high-profile organizations such as Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia.
Elastic's offerings include the Elastic Stack, X-Pack, and Elastic Cloud, which are integral to mission-critical systems that drive new revenue streams and substantial cost savings. The company's primary focus areas are enterprise search, observability, and security, enabling businesses to glean actionable insights from their data.
Backed by substantial funding of over $104 million from Benchmark Capital, Index Ventures, and NEA, Elastic has its headquarters in Amsterdam, the Netherlands, and Mountain View, California. The company employs more than 400 people across 30 countries, emphasizing its global presence and collaborative work culture.
Recent achievements include continuous innovation and updates to their product suite, ensuring that Elastic remains at the forefront of the technology landscape. Elastic's commitment to open-source principles and community engagement continues to propel its growth and influence in the data management and analytics sectors.
Elastic (NYSE: ESTC), the Search AI Company, has announced its management's participation in three upcoming investor conferences in September 2024:
- Citi Global TMT Conference on September 4 at 9:30 a.m. PT / 12:30 p.m. ET
- Goldman Sachs Communacopia & Technology Conference on September 9 at 3:05 p.m. PT / 6:05 p.m. ET
- Piper Sandler Growth Frontiers Conference on September 11 at 7:30 a.m. PT / 10:30 a.m. ET
Live webcasts and replays of these events will be available on Elastic's Investor Relations page at ir.elastic.co. This announcement highlights Elastic's commitment to engaging with investors and sharing insights about the company's performance and future prospects.
Elastic (NYSE: ESTC) has announced that its Elasticsearch Open Inference API now integrates with Anthropic's Claude models, including Claude 3.5 Sonnet, Claude 3 Haiku, and Claude 3 Opus. This integration allows developers to access Claude models directly from their Anthropic account, enabling real-time analysis of proprietary data and generation of business insights.
The collaboration aims to help customers build efficient and reliable AI applications. Key features include support for inference during ingestion pipelines and the ability to generate and store answers to frequently asked questions, which can help minimize latency and costs. The integration is available immediately, offering developers a powerful tool for AI-driven search and analytics.
Elastic (NYSE: ESTC) has announced support for Google Cloud's Vertex AI platform and Gemini models in its Elastic Attack Discovery and AI Assistant for Security. This integration provides security analysts with additional large language model (LLM) options to enhance their threat detection and response capabilities.
The collaboration aims to streamline security operations workflows by leveraging Google Cloud's Gemini 1.5 model via the Vertex AI platform. This integration enables improved contextual understanding of threats and offers enhanced analysis capabilities for security professionals.
Elastic Security Labs is actively developing and optimizing detection rules for Vertex AI and other leading technologies. The support for Google Cloud's Gemini 1.5 model via Vertex AI is available immediately.
Elastic (NYSE: ESTC) has partnered with LangChain to develop AI-driven security innovations for SOC teams. This collaboration has led to the creation of features like Automatic Import, Attack Discovery, and Elastic Assistant for Security on the Elastic Search AI Platform. These features aim to streamline user migration to AI-driven security analytics and expedite security operations workflows.
The integration leverages LangChain and LangGraph to enhance the Elastic AI Assistant's ability to understand complex security scenarios, identify attacks, and create accurate data integrations. Users can integrate these features with their preferred LLM through the Elastic Open Inference API and LangChain's chat model ecosystem.
Elastic (NYSE: ESTC), the Search AI Company, has announced it will release its financial results for the first quarter of fiscal 2025, ended July 31, 2024, after the U.S. market close on Thursday, August 29, 2024. The company will host a conference call at 2:00 p.m. PT/ 5:00 p.m. ET on the same day to review its financial results and business outlook. Investors can access a live webcast of the conference call from the Elastic investor relations website at ir.elastic.co. A replay of the webcast will be available for two months following the call.
Elastic (NYSE: ESTC) has introduced Elastic Distributions of OpenTelemetry (EDOT), a portfolio of OpenTelemetry (OTel) components designed to enhance infrastructure and application monitoring. EDOT offers deeper insights, troubleshooting capabilities, and enterprise-grade support from Elastic. The portfolio includes the Elastic Distribution of OpenTelemetry Collector and Elastic Distributions of Language Software Development Kits (SDKs) supporting Java, Python, NodeJS, .NET, iOS, and Android.
EDOT brings additional application performance monitoring (APM) capabilities from Elastic's APM agents into OTel language SDKs while maintaining seamless integration with Elastic Observability. Elastic plans to release OTel versions of its APM agents and continue adding language SDKs mirroring OTel. EDOT is currently available in tech preview, with details and documentation accessible in Elastic's public OpenTelemetry GitHub repository.
Elastic (NYSE: ESTC) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms for its Elastic Observability offering. This recognition is based on Elastic's Completeness of Vision and Ability to Execute.
Key features of Elastic Observability include:
- Proactive issue detection using AI and machine learning
- Cost-effective observability with up to 50% savings
- Open and extensible solution for future-proofing investments
- AI-augmented insights for SREs
- Fast analytics across petabytes of indexed data
- Unified data store for improved uptime and long-term analysis
Equinox, a customer, reported creating a 'single pane of glass' for data consumption and reducing fix deployment time by 50% using Elastic's solution.
Elastic (NYSE: ESTC) has launched Elastic Express Migration, a program designed to simplify the transition from legacy SIEM vendors to Elastic's AI-driven security analytics platform. The program offers migration credits to offset dual-vendor costs during transition and service credits for Elastic's migration professional services.
Key features of the migration process include:
- AI-based Automatic Import to automate custom data integrations
- 400+ prebuilt integrations for data onboarding
- Elastic AI Assistant to auto-convert existing detection rules
- ES|QL, a powerful new query language
The program aims to address challenges in SIEM migration, such as onboarding data sources and transferring detection rules, while providing a cost-effective solution for organizations seeking to modernize their security operations centers.
Elastic (NYSE: ESTC) has introduced Automatic Import, a groundbreaking feature for its Security Information and Event Management (SIEM) solution. This AI-powered tool automates custom data integrations, significantly reducing the time required to onboard new data sources from days to less than ten minutes. The innovation addresses a major pain point in SIEM migration, potentially saving large-scale customers hundreds of hours and months of implementation time.
Powered by the Elastic Search AI Platform, Automatic Import leverages large language models (LLMs) and retrieval augmented generation (RAG) to expedite labor-intensive SecOps tasks. It builds upon Elastic's previous AI-driven security analytics innovations, including Elastic AI Assistant and Attack Discovery. The feature is available to all customers with an Enterprise license and currently supports JSON and NDJSON-based log formats.
Elastic (NYSE: ESTC) has announced that its Elasticsearch vector database now supports Mistral AI embeddings. This integration allows for native chunking via a single API call, streamlining the development process for RAG applications. The collaboration between Elastic and Mistral AI aims to simplify the storage and chunking of embeddings in Elasticsearch, making it easier for developers to build advanced search applications.
Key features of this integration include:
- Support for mistral-embed
- Native integrations with the Open Inference API
- Compatibility with the semantic_text field
This update aligns with Elastic's commitment to providing open-first, enterprise-grade GenAI tools and Mistral AI's focus on open-weights and accessibility in AI development.
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