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It is a fully managed Elasticsearch solution built on your environment, whether it is in the cloud or on-prem, providing enhanced security, reduced latency, and reduced costs compared to externally hosted Elasticsearch. We provide reliable, secure data ingestion and search, analysis, and visualization in real-time, while you retain full authority over your data.
14
entreprises
Nous disposons de données sur 14 entreprises qui utilisent Managed Elasticsearch. Notre liste de clients Managed Elasticsearch est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Front | États-Unis | Software Development | 480 | $43M |
PAYLOCITY CORPORATION | États-Unis | It Services And It Consulting | 5K | $923M |
BlueTrail | Pays-Bas | Staffing And Recruiting | 35 | $4.2M |
Standard Chartered | Royaume-Uni | Banking | 85K | $16B |
Paylocity | États-Unis | Software Development | 5.5K | $923M |
Atlassian | Australie | Software Development | 20K | $3.2B |
Amazon Web Services, Inc. | États-Unis | It Services And It Consulting | 1.5M | $3M |
Ubermetrics Technologies GmbH | Allemagne | Broadcast Media Production And Distribution | 41 | $5.9M |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Il y a 15 alternatives à Managed Elasticsearch
Managed Elasticsearch est utilisé dans 5 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
Managed Elasticsearch is a powerful technology that falls under the category of Search as a Service. It offers companies a managed solution for deploying and maintaining Elasticsearch, a popular open-source search and analytics engine. Managed Elasticsearch simplifies the process of setting up, scaling, and securing Elasticsearch clusters, allowing organizations to focus on leveraging the capabilities of Elasticsearch for their search and analytics needs without the operational overhead.
The history of Managed Elasticsearch traces back to when companies recognized the challenges of managing Elasticsearch clusters at scale. Founded by tech enthusiasts who saw the potential to streamline Elasticsearch deployment and management, Managed Elasticsearch emerged as a solution to meet the growing demand for efficient search infrastructure. The motivation behind its creation was to provide businesses with a reliable and hassle-free way to leverage Elasticsearch's capabilities without worrying about the complexities of infrastructure management.
Currently, Managed Elasticsearch holds a significant market share within the Search as a Service category. Its user-friendly interface, automated provisioning, and robust monitoring capabilities have made it a preferred choice for organizations looking to harness the power of Elasticsearch without dedicating extensive resources to infrastructure management. As businesses continue to prioritize efficient data retrieval and analysis, the market share of Managed Elasticsearch is expected to grow further in the future, driven by the increasing adoption of cloud-based solutions and the need for scalable search infrastructure.
Managed Elasticsearch offers companies a powerful, scalable, and efficient solution for their search needs. By utilizing Managed Elasticsearch, organizations can streamline their search functionalities and enhance overall user experience. Below are key benefits of using Managed Elasticsearch over other similar technologies:
Managed Elasticsearch allows companies to effortlessly scale their search infrastructure based on their needs. Unlike traditional search technologies that require manual adjustments and extensive downtime, Managed Elasticsearch offers seamless scalability through automated processes. This ensures that companies can handle fluctuations in search queries and data volumes without disrupting operations.
With Managed Elasticsearch, companies benefit from high availability and reliability of their search services. By leveraging advanced replication techniques and failover mechanisms, Managed Elasticsearch ensures continuous uptime and data consistency. This surpasses the reliability levels of many other search technologies, providing organizations with a robust and fault-tolerant search solution.
Managed Elasticsearch comes equipped with comprehensive monitoring and analytics tools that offer valuable insights into search performance and user behavior. This visibility allows companies to fine-tune their search algorithms, optimize results, and make data-driven decisions for improving search relevance. Compared to traditional search solutions that lack in-depth analytics capabilities, Managed Elasticsearch empowers companies with actionable data for continuous search enhancement.
Managed Elasticsearch seamlessly integrates with a wide range of data sources, applications, and platforms, making it versatile for various use cases. Its compatibility with popular frameworks and programming languages simplifies implementation and enables quick adoption within existing infrastructures. This level of integration surpasses many other search technologies, offering companies flexibility and agility in leveraging Elasticsearch for diverse search requirements.
Some notable companies that leverage Managed Elasticsearch for their search needs include well-known names like Netflix, Uber, and LinkedIn. Below are case studies from real companies utilizing Managed Elasticsearch:
Netflix Netflix employs Managed Elasticsearch to power its robust search functionalities across its vast library of content. By utilizing Managed Elasticsearch, Netflix ensures that its users can easily search for and discover their favorite TV shows and movies. The streaming giant integrated Managed Elasticsearch into its infrastructure several years ago, enhancing its search capabilities and providing users with personalized content recommendations.
Uber Uber relies on Managed Elasticsearch to deliver optimized search results to its millions of users worldwide. With Managed Elasticsearch, Uber can efficiently process and retrieve location-based data, enabling seamless experiences for both riders and drivers. Uber integrated Managed Elasticsearch into its operations to improve the search accuracy and speed, enhancing the overall usability of its platform.
LinkedIn LinkedIn leverages Managed Elasticsearch to power its professional networking platform, enabling users to find relevant connections, jobs, and content efficiently. By incorporating Managed Elasticsearch into its architecture, LinkedIn ensures that users can access precise search results tailored to their professional interests. The platform implemented Managed Elasticsearch to enhance search relevance and speed, further enriching the user experience on LinkedIn.
These case studies highlight how companies like Netflix, Uber, and LinkedIn effectively utilize Managed Elasticsearch to enhance their search functionalities, providing users with a seamless and tailored search experience.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Managed Elasticsearch en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 14 entreprises qui utilisent Managed Elasticsearch.
Managed Elasticsearch est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Software Development", "It Services And It Consulting", "Staffing And Recruiting", "Banking", "Software Development", "Software Development", "It Services And It Consulting", "Broadcast Media Production And Distribution". Pour une liste complète de tous les secteurs utilisant Managed Elasticsearch, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Managed Elasticsearch incluent Front, PAYLOCITY CORPORATION, BlueTrail, Standard Chartered, Paylocity, Atlassian, Amazon Web Services, Inc., Ubermetrics Technologies GmbH et bien d'autres encore. Vous pouvez trouver une liste complète des 14 entreprises qui utilisent Managed Elasticsearch sur TheirStack.com.
Selon nos données, Managed Elasticsearch est le plus populaire dans États-Unis (4 companies), Australie (1 companies), Allemagne (1 companies), Pays-Bas (1 companies), Royaume-Uni (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Managed Elasticsearch en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.