Software Alternatives, Accelerators & Startups

Splunk Enterprise VS Elastic Stack

Compare Splunk Enterprise VS Elastic Stack and see what are their differences

Splunk Enterprise logo Splunk Enterprise

Splunk Enteprise is the fastest way to aggregate, analyze and get answers from your machine data with the help machine learning and real-time visibility.

Elastic Stack logo Elastic Stack

Meet the search platform that helps you search, solve, and succeed
  • Splunk Enterprise Landing page
    Landing page //
    2023-03-28
  • Elastic Stack Landing page
    Landing page //
    2024-04-20

Splunk Enterprise features and specs

  • Scalability
    Splunk Enterprise is designed to handle large volumes of data from different sources, making it suitable for enterprises of all sizes.
  • Real-time monitoring
    It offers real-time data analysis and monitoring, helping organizations to detect and respond to issues as they happen.
  • Custom dashboards
    Users can create custom dashboards aligned with their specific needs, offering flexibility in data visualization.
  • Data Integration
    Splunk supports integration with a wide range of data sources including logs, metrics, and events from various applications and systems.
  • Advanced Analytics
    It provides advanced analytics capabilities, including machine learning models to recognize patterns and anomalies in the data.
  • User Community and Support
    Splunk has a large user community and extensive documentation, helping users to find solutions and best practices more effectively.
  • Robust Security
    It offers multiple security features including data encryption, user authentication, and access control to protect sensitive information.

Possible disadvantages of Splunk Enterprise

  • Cost
    Splunk Enterprise can be expensive, especially for smaller organizations, because of its licensing and hardware requirements.
  • Complexity
    Setting up and managing Splunk can be complex and might require specialized knowledge and training.
  • High Resource Consumption
    The platform can be resource-intensive, requiring significant compute and storage capacity depending on data volume.
  • Overhead for Small Deployments
    For smaller deployments, the comprehensive capabilities of Splunk can be overkill, leading to unnecessary overhead.
  • Customization Learning Curve
    While custom dashboards are a strong feature, they can have a steep learning curve, requiring time and expertise to fully utilize.
  • Search Performance
    The search performance can degrade as the volume of data increases, necessitating additional tuning and optimization.

Elastic Stack features and specs

  • Scalability
    Elastic Stack is designed to scale horizontally, enabling you to add more nodes to handle increased loads and data sizes seamlessly.
  • Real-Time Data Processing
    Provides capabilities for real-time data ingestion and processing, making it suitable for use cases like monitoring and logging where timely insights are critical.
  • Powerful Search and Analytics
    Offers powerful full-text search capabilities through Elasticsearch, along with data visualization tools via Kibana for insightful analytics.
  • Flexible Data Ingestion
    Supports various data ingestion methods and sources including Logstash, Beats, and direct API calls, allowing for flexible data integrations.
  • Open Source and Mature Ecosystem
    Being open-source, Elastic Stack benefits from a large community, robust documentation, and a mature ecosystem of plugins and integrations.

Possible disadvantages of Elastic Stack

  • Complexity in Setup and Management
    Setting up and managing an Elastic Stack cluster can be complex and may require significant expertise, especially with larger deployments.
  • Resource Intensive
    Elastic Stack can be resource-intensive in terms of CPU, memory, and storage, which may necessitate substantial infrastructure investments.
  • Security Considerations
    While Elastic Stack includes security features, properly securing a deployment involves additional configuration and possibly extra licensing costs.
  • Cost for Paid Features
    Certain advanced features, such as machine learning, are part of the paid Elastic subscriptions, which can add to costs for enterprise users.
  • Steep Learning Curve
    Mastering the Elastic Stack's wide range of functionalities and configurations can be challenging, especially for new users without prior experience.

Analysis of Splunk Enterprise

Overall verdict

  • Yes, Splunk Enterprise is considered a good choice for businesses aiming to enhance their data analytics capabilities. It is well-suited for enterprises that need to handle large-scale data analysis, monitor performance, and troubleshoot issues effectively.

Why this product is good

  • Splunk Enterprise is highly regarded for its ability to index, search, and analyze vast amounts of machine-generated data in real-time. It offers powerful visualization tools, extensive data integration capabilities, and robust security features. This makes it ideal for organizations looking to derive actionable insights and improve operational efficiency.

Recommended for

    Splunk Enterprise is recommended for IT and security teams, data analysts, and businesses that require advanced log management, real-time data processing, and comprehensive reporting tools. It is particularly valuable for industries such as finance, healthcare, retail, and telecommunications where data-driven decision-making is crucial.

Splunk Enterprise videos

Webinar: Splunk Enterprise Security (Splunk ES)

Elastic Stack videos

No Elastic Stack videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Splunk Enterprise and Elastic Stack)
Monitoring Tools
93 93%
7% 7
Log Management
93 93%
7% 7
Office & Productivity
0 0%
100% 100
Performance Monitoring
100 100%
0% 0

User comments

Share your experience with using Splunk Enterprise and Elastic Stack. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Splunk Enterprise and Elastic Stack

Splunk Enterprise Reviews

We have no reviews of Splunk Enterprise yet.
Be the first one to post

Elastic Stack Reviews

10 Best Grafana Alternatives [2023 Comparison]
The appeal to Elastic Stack is that it doesnโ€™t cost anything to download and use. Of course, like any open-source solution, there will be additional management costs. That being said, once itโ€™s installed, you will gain instant access to all the tools listed above. Using these tools, you can ship data from multiple sources, process it, and then subsequently store it in a...
Source: sematext.com
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Lastly, the Elastic Stack (ELK Stack) is a well-known tool for Linux performance monitoring. Itโ€™s composed of Elasticsearch (full-text search), Logstash (a log aggregator), Kibana (visualization via graphs and charts), and Beats (lightweight metrics collectors and shippers).
Source: sematext.com

What are some alternatives?

When comparing Splunk Enterprise and Elastic Stack, you can also consider the following products

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

ElasticHQ - Tool for ElasticSearch management and monitoring.

AppDynamics - Get real-time insight from your apps using Application Performance Managementโ€”how theyโ€™re being used, how theyโ€™re performing, where they need help.

LogFusion - Log fusion is a software that helps you to display and monitor your log files in real-time by relying on this lightweight application that features a massive range of useful function.

Sumo Logic - Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

Devo - Devo delivers real-time operational & business value from analytics on streaming and historical data to operations.