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Elastic Stack

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Company health

Employee growth
9% increase in the last year
Web traffic
7% decrease in the last quarter
Financing
January 2018 - $162M

Ratings

G2
4.5/5
(91)
Capterra
4.6/5
(67)
Glassdoor
3.9/5
(759)

Elastic Stack description

Elastic Stack is a data analysis platform that helps you understand your data better. It lets you explore relationships within your data, like finding connections between customers, products, or events. Imagine visually mapping out your data to uncover hidden patterns. You can easily search, visualize, and understand complex relationships in real-time, using dashboards and intuitive tools. Elastic Stack is useful for various tasks like fraud detection, making recommendations, and improving security.


Who is Elastic Stack best for

Elastic Stack is a powerful search and analytics platform ideal for developers and DevOps engineers. Users praise its ability to handle large datasets, flexible visualizations, and easy integration with various data sources. However, some find it resource-intensive and complex. Consider Elastic Stack if you need real-time insights and robust search capabilities.

  • Best for small, medium, and large enterprises.

  • Ideal for Software, IT, Telecommunications, and various other industries.


Elastic Stack features

Supported

Elastic Stack offers extensive data aggregation capabilities including metric and bucket aggregations, and allows for complex calculations through pipeline aggregations. This makes it suitable for deriving summaries and insights from data.

Supported

Elasticsearch and Kibana enable real-time data analysis and visualization.

Supported

Elasticsearch supports full-text search across documents using an inverted index and a rich query language.

Supported

Elastic Stack, via Kibana, supports charts, graphs, dashboards, and other visualizations.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Ease of Use

Strongly positive
+1

Reliability and Performance

Strongly positive
+1

Ease of Implementation

Strongly positive
+1

Scalability

Strongly positive
+1

Elastic Stack reviews

We've summarised 156 Elastic Stack reviews (Elastic Stack GetApp reviews, Elastic Stack Capterra reviews and Elastic Stack G2 reviews) and summarised the main points below.

Pros of Elastic Stack
  • Powerful search and analytics capabilities, handling large volumes of data efficiently.
  • Flexible data visualization with Kibana dashboards for real-time insights.
  • Easy integration with various data sources and platforms.
  • Scalable architecture with support for distributed deployments.
  • Open-source with a large community and readily available resources.
Cons of Elastic Stack
  • Slow performance with large datasets, requiring data archiving/purging.
  • Complex query structure, lacking clear examples for practical application.
  • Steep learning curve, especially for beginners, with complex integration and setup.
  • High resource consumption, particularly Logstash, impacting smaller deployments.
  • Limited self-monitoring capabilities in production environments.

Elastic Stack pricing

The commentary is based on 12 reviews from Elastic Stack Capterra reviews and Elastic Stack G2 reviews.

Elastic Stack is generally considered free and open-source, offering extensive features. However, some users find the cloud-hosted option and achieving advanced configurations pricey. Managing large clusters effectively requires expertise, impacting overall costs.

Users sentiment

Strongly negative
-1

See the Elastic Stack pricing page.


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  • Logo of Amazon OpenSearch Service
    Amazon OpenSearch Service
    Scalable search and analytics for fast insights, managed by Amazon.
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Elastic Stack FAQ

  • What is Elastic Stack and what does Elastic Stack do?

    Elastic Stack is a powerful data analysis platform combining search, analysis, and visualization capabilities. It allows you to explore, visualize, and analyze large datasets in real-time, uncovering hidden patterns and insights for various use cases like security monitoring and business analytics.

  • How does Elastic Stack integrate with other tools?

    Elastic Stack integrates with various data sources and platforms, offering seamless data ingestion. Its open-source nature and large community provide extensive integration options and readily available resources. This flexibility allows users to connect and analyze data from diverse sources within a unified platform.

  • What the main competitors of Elastic Stack?

    Top alternatives to Elastic Stack include Amazon OpenSearch Service, Snowflake, and Tableau. These competitors offer similar functionalities such as data visualization, analytics, and search capabilities for various data needs. Other options include AnswerMiner, Monte Carlo, and Explo.

  • Is Elastic Stack legit?

    Yes, Elastic Stack is a legitimate and widely used data analysis platform. It's known for its powerful search and analytics capabilities, especially for handling large volumes of data. Elastic Stack is trusted by numerous businesses for real-time insights and data visualization.

  • How much does Elastic Stack cost?

    I couldn't find specific pricing details for Elastic Stack. Contact Elastic directly to discuss product pricing, explore available plans, and determine if the product is worth it for your needs.

  • Is Elastic Stack customer service good?

    Elastic Stack's customer service receives mixed reviews. While some users appreciate the helpful community forums and documentation, others find the support lacking for the open-source version and express frustration with inconsistent documentation quality.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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