Elasticsearch is a prominent open-source search and analytics engine known for its scalability, reliability, and straightforward management. It's a favored choice among enterprises for real-time data search, analysis, and visualization. Open-source Elasticsearch is free, offering a comprehensive feature set and scalability. It allows full control over deployments but requires managing and maintaining the infrastructure. On the other hand, Elastic Cloud provides a managed service with features like automated provisioning, high availability, security, and global reach.
| Type | Title | Date | |
|---|---|---|---|
| Category | Indexing and Search | Dec 25, 2024 | Download |
| Product | Reviews, tips, and advice from real users | Dec 25, 2024 | Download |
| Comparison | Elastic Search vs Luigi's Box | Dec 25, 2024 | Download |
| Comparison | Elastic Search vs IBM Watson Discovery | Dec 25, 2024 | Download |
| Comparison | Elastic Search vs OpenText IDOL | Dec 25, 2024 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Microsoft FAST | 4.5 | 5.9% | 100% | 2 interviewsAdd to research |
| OpenText IDOL | 4.2 | 8.8% | 100% | 5 interviewsAdd to research |
The most valuable features of Elastic Search include its efficient search capabilities, scalability, real-time data indexing, powerful analytics, and seamless integration with other tools and platforms. Users appreciate its ability to handle large volumes of data and provide fast and accurate search results.
Elastic Search is scalable, allowing it to expand easily as data needs grow. Its real-time data indexing feature enables users to access the most up-to-date information.
The powerful analytics capabilities of Elastic Search help users gain valuable insights from their data. Additionally, the seamless integration with various tools and platforms enhances its usability and flexibility.
Elastic Search could benefit from enhancements in terms of performance, scalability, and ease of use. Users have expressed a desire for faster search speeds and improved handling of large datasets.
Additionally, some users have mentioned the need for better documentation and more intuitive interfaces to simplify the setup and configuration process.
Users expressed satisfaction with the effectiveness and efficiency of Elastic Search in their operations. They highlighted its ability to improve search capabilities, enhance data analysis, and optimize overall performance.
Users also mentioned that Elastic Search helped them save time and resources by providing quick and accurate results.
Elasticsearch offers two main options - an open source free version and a fully managed cloud service called Elastic Cloud.
The open-source option allows the use of Elasticsearch without any licensing costs. It provides complete control and flexibility to customize Elasticsearch as needed. However, you must handle all aspects of deploying and managing the infrastructure.
Elastic Cloud eliminates the operational burden for those wanting a managed service through automated provisioning, scaling, security, and more. It offers different pricing plans. The options start with the standard plan, which starts at $95/month and Includes enhanced security, additional features, functionality, and integrations. You will also have access to web-based support and a 3-business day response time.
The Enterprise plan is designed for organizations with the most demanding needs. It starts at $175/month and includes all of the features Elastic offers, including reporting, alerting, monitoring, and advanced security and configuration functionality. Enterprise plan users will also enjoy phone and web-based, 24/7/365 support.
Additional charges apply for data transfer, backups, and other advanced capabilities.
The primary use case of Elastic Search is to efficiently search and analyze large volumes of data in real-time. It is commonly used for log analysis, monitoring, and data exploration purposes. Users have also mentioned its effectiveness in improving search functionality and enhancing the performance of their applications.
Users have praised the assistance provided by the Elastic Search team, highlighting their promptness, knowledge, and willingness to help.
The support received is described as excellent, reliable, and efficient. Users appreciate the team's responsiveness and their ability to address and resolve issues effectively.
The duration required for the initial setup, deployment, and implementation of Elastic Enterprise Search varies. Some users found the initial setup to be straightforward and easy, while others found it difficult.
The deployment time ranged from a couple of days to a month, depending on the complexity and the number of people involved. The solution may require regular fine-tuning as more data is added.
Elastic Search appears to have a high level of scalability. Users have praised its ability to handle large amounts of data efficiently and effectively. They have also mentioned that the solution can easily accommodate growing needs and can be seamlessly integrated into existing systems. Users have expressed satisfaction with the solution's performance and its ability to handle increased workloads without compromising speed or functionality.
Elastic Search is highly reliable and dependable. Users have praised its consistent performance and robustness, highlighting its ability to handle large amounts of data without any issues.
The stability of Elastic Search has been commended, with users expressing confidence in its ability to maintain a steady and reliable search functionality.
Elasticsearch excels in handling time-sensitive data and complex search requirements across large datasets. Its scalability allows it to handle growing data volumes efficiently, maintaining high performance and fast response times. Integrated with Kibana, Elasticsearch enables powerful data visualization, providing real-time insights crucial for data-driven decision-making.
Elastic Cloud reduces operational overhead and improves scalability and performance, though it comes with associated costs. It is available on your preferred cloud provider — AWS, Azure, or Google Cloud. Customers who want to manage the software themselves, whether on public, private, or hybrid cloud, can download the Elastic Stack.
At its core, Elasticsearch is renowned for its full-text search capabilities, capable of performing complex queries and supporting features like fuzzy matching and auto-complete.
Peer reviews from various professionals highlight its strengths and weaknesses. Pros include its detection and correlation features, flexibility, cloud-readiness, extensibility, and efficient search capabilities. However, users have noted challenges like steep learning curves, data analysis limitations, and integration complexities. The platform is generally viewed as stable and scalable, with varying degrees of satisfaction regarding its usability and feature set.
In summary, Elasticsearch stands out for its high-speed search, scalability, and versatile analytics, making it a go-to solution for organizations managing large datasets. Its adaptability to different enterprise needs, robust community support, and continuous development keep it at the forefront of enterprise search and analytics solutions. However, potential users should be aware of its learning curve and the need for skilled personnel for optimization.
Elastic Search was previously known as Elastic Enterprise Search, Swiftype, Elastic Cloud.
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