Companies that use Managed Elasticsearch

Frequently asked questions

What is the source of this data?

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

How often is the data updated?

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

What is Managed Elasticsearch?

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.

How to get an updated list of companies that use Managed Elasticsearch?

You can access an updated list of companies using Managed Elasticsearch by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

How many customers does Managed Elasticsearch have?

As of now, we have data on 15 companies that use Managed Elasticsearch.

Who uses Managed Elasticsearch?

Managed Elasticsearch is used by a diverse range of organizations across various industries, including "Software Development", "Software Development", "Software Development", "Retail Apparel And Fashion", "It Services And It Consulting", "Banking", "Software Development", "Staffing And Recruiting", "It Services And It Consulting". For a comprehensive list of all industries utilizing Managed Elasticsearch, please visit TheirStack.com.

What companies use Managed Elasticsearch?

Some of the companies that use Managed Elasticsearch include Front, Paylocity, Beekeeper, FRONT, MoEngage Inc, Standard Chartered Bank, Atlassian, BlueTrail, Amazon Web Services, Inc., TLA LLC and many more. You can find a complete list of 15 companies that use Managed Elasticsearch on TheirStack.com.

In which countries Managed Elasticsearch is used the most?

Based on our data, Managed Elasticsearch is most popular in United States (3 companies), Australia (1 companies), Netherlands (1 companies), Switzerland (1 companies), United Kingdom (1 companies). However, it is used by companies all over the world.

How to find companies that use Managed Elasticsearch?

You can find companies using Managed Elasticsearch by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.