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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
aziende
Abbiamo dati su 14 aziende che usano Managed Elasticsearch. La nostra lista di clienti Managed Elasticsearch è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Front | Stati Uniti | Software Development | 480 | $43M |
PAYLOCITY CORPORATION | Stati Uniti | It Services And It Consulting | 5K | $923M |
BlueTrail | Paesi Bassi | Staffing And Recruiting | 35 | $4.2M |
Standard Chartered | Regno Unito | Banking | 85K | $16B |
Paylocity | Stati Uniti | Software Development | 5.5K | $923M |
Atlassian | Australia | Software Development | 20K | $3.2B |
Amazon Web Services, Inc. | Stati Uniti | It Services And It Consulting | 1.5M | $3M |
Ubermetrics Technologies GmbH | Germania | Broadcast Media Production And Distribution | 41 | $5.9M |
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Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
Puoi ricevere avvisi per questi dati. Puoi iniziare selezionando la tecnologia che ti interessa e poi riceverai avvisi nella tua casella di posta quando ci sono nuove aziende che utilizzano quella tecnologia.
Puoi esportare i suoi dati in un file Excel, che può essere importato nel tuo CRM. Puoi anche esportare i dati in un'API.
Managed Elasticsearch è utilizzata in 5 paesi
Ci sono 15 alternative a Managed Elasticsearch
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Managed Elasticsearch visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 14 aziende che utilizzano Managed Elasticsearch.
Managed Elasticsearch è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "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". Per un elenco completo di tutti i settori che utilizzano Managed Elasticsearch, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Managed Elasticsearch includono Front, PAYLOCITY CORPORATION, BlueTrail, Standard Chartered, Paylocity, Atlassian, Amazon Web Services, Inc., Ubermetrics Technologies GmbH e molte altre. Puoi trovare un elenco completo di 14 aziende che utilizzano Managed Elasticsearch su TheirStack.com.
Secondo i nostri dati, Managed Elasticsearch è più popolare in Stati Uniti (4 companies), Australia (1 companies), Germania (1 companies), Paesi Bassi (1 companies), Regno Unito (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Managed Elasticsearch cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.