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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
Unternehmen
Wir haben Daten zu 14 Unternehmen, die Managed Elasticsearch verwenden. Unsere Managed Elasticsearch Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Front | Vereinigte Staaten | Software Development | 480 | $43M |
PAYLOCITY CORPORATION | Vereinigte Staaten | It Services And It Consulting | 5K | $923M |
BlueTrail | Niederlande | Staffing And Recruiting | 35 | $4.2M |
Standard Chartered | Vereinigtes Königreich | Banking | 85K | $16B |
Paylocity | Vereinigte Staaten | Software Development | 5.5K | $923M |
Atlassian | Australien | Software Development | 20K | $3.2B |
Amazon Web Services, Inc. | Vereinigte Staaten | It Services And It Consulting | 1.5M | $3M |
Ubermetrics Technologies GmbH | Deutschland | Broadcast Media Production And Distribution | 41 | $5.9M |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
Managed Elasticsearch wird in 5 Ländern verwendet
Es gibt 15 Alternativen zu Managed Elasticsearch
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
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.
Sie können eine aktuelle Liste von Unternehmen, die Managed Elasticsearch verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 14 Unternehmen, die Managed Elasticsearch verwenden.
Managed Elasticsearch wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "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", verwendet. Für eine umfassende Liste aller Branchen, die Managed Elasticsearch nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Managed Elasticsearch verwenden, umfassen Front, PAYLOCITY CORPORATION, BlueTrail, Standard Chartered, Paylocity, Atlassian, Amazon Web Services, Inc., Ubermetrics Technologies GmbH und viele mehr. Sie können eine vollständige Liste von 14 Unternehmen, die Managed Elasticsearch nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Managed Elasticsearch am beliebtesten in Vereinigte Staaten (4 companies), Australien (1 companies), Deutschland (1 companies), Niederlande (1 companies), Vereinigtes Königreich (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Managed Elasticsearch verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.