Elastic Stack vs Splunk Enterprise

ManageEngine Firewall Analyzer

Datadog

ManageEngine Firewall Analyzer is a network security device management solution that helps optimize firewall performance, ensure compliance, proactively manage threats, monitor traffic and bandwidth consumption, and streamline firewall management for enhanced network protection.

Datadog is a monitoring and security platform for Dev, Sec, and Ops teams that unifies metrics, traces, and logs in one place so teams can get full visibility into their IT environment.

Splunk Enterprise

Splunk Enterprise is a cloud-based platform designed to assist businesses with big data management and analysis of machine data. Key features include data visualization, performance metrics, data collection, real-time search, indexing, KPI tracking, reporting, and monitoring.

Reliably and securely take data from any source, in any format, then search, analyze, and visualize it in real time.



Access Controls/Permissions

Activity Dashboard

Activity Tracking

Alerts/Escalation

Alerts/Notifications

Analytics

Application Management

Application Security

Audit Management

Augmented Analytics

Authentication

Auto Extraction

Content Management

Customizable Dashboard

Customizable Reports

Dashboard

Data Aggregation

Data Aggregation and Publishing

Data Analysis Tools

Data Cleansing

Data Connectors

Data Discovery

Data Import/Export

Data Management

Data Storage Management

Data Visualization

Diagnostic Tools

Document Storage

Event Logs

File Management

File Transfer

Forecasting

For Websites

Full Text Search

High Volume Processing

Incident Management

Indexing

KPI Monitoring

Log Analysis

Log Collection

Machine Learning

Monitoring

Natural Language Processing

Natural Language Search

No-Code

Performance Metrics

Predictive Analytics

Real-Time Monitoring

Relational Display

Reporting/Analytics

Role-Based Permissions

Search/Filter

Single Page View

Single Sign On

Templates

Third-Party Integrations

Two-Factor Authentication

User Management

Visualization

Elastic Stack

Web-based

Windows

Linux

Basic

Developer

We use it to store and analyze in real time network traffic for our custom L4 firewall.

Software Engineer

Also, out of the box integration with popular tools are not as great as other alternatives.

It is also widely used, so once you are familiar with ELK, you are likely to have a good fundamental knowledge of how monitoring, logging... works

It has open source version so that anyone can start using without worrying about cost.

To a certain extent, it gets complicated when it comes to set up, scale and manage infrastructure.

Data Scientist

Elastic Stack is a powerful platform which allows you to quickly search and query on the data even if the data is in huge volume, thanks to its distributed computing and storage.

Software Development Engineer

Natural language processing like stemming, removing stopwords, multilingual search, tokenized storage etc.

Assistant Director IT

Lightening fast, we built BI dashboards and the 5 years reports data gets populated within seconds that would otherwise takes hours traditionally database or BI tool

Solutions Architect

The multiple versions of API and multiple possible format make it quite hard to get the correct one - mostly when a new release is out and user is pushed to use it - without proper support.

Provides a large and powerful set of features suitable for many different data-dependent areas.

Technical Lead

It supports a couple of inbuilt dashboards to represent the data nicely.

DevOps Architect

One of the best features I like is that Elastic built their own kubernetes operator to extend the k8s orchestration and make it easy to deploy, scale, change, secure and configure hot-warm infrastructures.

System Engineer

With Elastic Stack, we have a better understanding of flaws and security issues, particularly memory tier support that ensures the security of our data and networks.

I have deployed stacks on different k8s architectures like Azure Kubernetes Service, Amazon Elastic Kubernetes Service and small on prem clusters with microk8s without issues. When we reach performance thresholds we add more elastic nodes and ECK secures and joins it to the cluster and in minutes we can leverage the extra compute.

Kibana is a very good tool to visualize data saved in Elastic.

We can store and retrieve data very easily in Elastic.

A lot of changes that are done after going to PROD are non-disruptive since ECK is aware of the main node and makes sure to pass the master role before the main one is re-deployed.

Its easy-to-use UI is self-explanatory and also the forum support and documentation are quite helpful.

Allows Faster searching and query operations

Provides with easy data visualization for analysis

Customer Support Specialist

Moreover, I could use an option of saving the templates or most recent types of searches into some kind of database so we would not need to setup these all over again.

It's an easy choice when complex queries are involved, if cost is a secondary factor.

IT Manager

Very nice real-time dashboard, I can integrated with other software and see all the view of network traffic, traffic flow very well.

Scalable as per the requirement with support of kubernetes

I mostly like the Elastic Search queries.

Widely-supported, almost a pioneer software for logging.

It is very easy to deploy using docker containers and Kubernetes support.

Organizing chat data to be searchable and log management to proactively fix issues.

We user Kibana's dashboard and also part of it for data analysis of our tool.

Senior Software Engineer

Great features and functions have helped me a lot.

CITNSO

The provided security ruleset tends to produce many false positives and requires fine tuning.

A solid product with a rich feature set, if you get past the initial setup complexity.

Its a very good search engine as it has a power to query for more than thousands-lakhs of records in just few seconds and sometimes is perform better. But again its all depends on the query you have written.

Software Developer

In our projects, we use elasticsearch in database queries that need fast answers.

Overall I like this database but I did face some challenges related to certificate passing while making a connection due to lack of knowledge base on internet

AWS Developer( works for Coca-cola Company)

This is best search software for  data searching and analytics on stream data in cloud.

Quality Assurance Specialist

Indexing Feature to store large amounts of data

Also the query is typical or hard to write in terms of SQL queries.

Best search and analytics software available in cloud, flexible to use and available free trial to evaluate it.

Great tool for analyzing logs very powerful.

Search Engine

Dashboard and Log Visualization

Cloud Deployment

Log Management

Security and Access Control

Querying

Features

Scalability and Reliability

User Interface

Small Business

Large Enterprises

Freelancers

Mid-size Business

Elastic

AI-powered platform that unifies identity, endpoints, and compliance—giving IT teams time and control back.

Action1

Action1 reinvents patch management with an infinitely scalable and highly secure platform configurable in 5 minutes that just works.

Wrike

Wrike is an AI-powered enterprise work management platform that enables teams to build, connect, and scale workflows with comprehensive visibility. The software offers task management, resource planning, and visual collaboration tools alongside AI agents that automate routine tasks. Wrike integrates with numerous applications including Microsoft, Google, and Adobe products while providing enterprise-grade security with role-based access control.

Elastic Stack vs Splunk Enterprise Comparison (2026)

Elastic Stack

Splunk Enterprise

Overview

Video & Screenshots

Pricing

User reviews

Key features

Integrations

Alternatives