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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. LogDNA vs Splunk Enterprise

LogDNA vs Splunk Enterprise

OverviewComparisonAlternatives

Overview

LogDNA
LogDNA
Stacks97
Followers144
Votes18
Splunk Enterprise
Splunk Enterprise
Stacks116
Followers114
Votes0

LogDNA vs Splunk Enterprise: What are the differences?

  1. Deployment and Scalability: LogDNA excels in its ease of deployment and scalability as it is a cloud-native solution that requires minimal setup and maintenance. On the other hand, Splunk Enterprise is an on-premises solution that may require more complex deployment procedures and maintenance efforts, especially for large-scale environments.

  2. Cost and Licensing: LogDNA typically offers a more cost-effective pricing model with transparent and straightforward pricing plans based on data usage. In contrast, Splunk Enterprise is known for its higher upfront costs, requiring a substantial investment in licensing and infrastructure for on-premises deployments. Additionally, Splunk's pricing can become complex as it is tied to various factors like data volume and additional features.

  3. Search and Query Capabilities: Splunk Enterprise is renowned for its advanced search and query functionalities, allowing users to perform complex searches and correlations across large volumes of data. LogDNA, while efficient for log management, may not offer the same level of advanced search capabilities as Splunk, making it more suitable for simpler use cases.

  4. Integration Ecosystem: Splunk Enterprise boasts a vast integration ecosystem with various third-party tools and applications, allowing for seamless integration with existing infrastructure and applications. In comparison, LogDNA's integration ecosystem may be limited in scope, potentially requiring custom solutions for specific integration requirements.

  5. Machine Learning and AI Capabilities: Splunk Enterprise incorporates advanced machine learning and AI capabilities for data analysis and predictive insights, enabling users to uncover trends and anomalies in the data. LogDNA may not offer the same level of sophisticated machine learning features, potentially limiting its capabilities in advanced data analysis.

  6. Compliance and Security Features: Splunk Enterprise offers robust compliance and security features, making it a preferred choice for organizations with stringent security requirements and regulatory compliance needs. LogDNA, while secure, may not provide the same level of comprehensive compliance and security features as Splunk Enterprise.

In Summary, LogDNA and Splunk Enterprise differ in deployment and scalability, cost and licensing, search and query capabilities, integration ecosystem, machine learning and AI capabilities, as well as compliance and security features.

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Detailed Comparison

LogDNA
LogDNA
Splunk Enterprise
Splunk Enterprise

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

Splunk Enterprise delivers massive scale and speed to give you the real-time insights needed to boost productivity, security, profitability and competitiveness.

Aggregate Logs & Analyze Related Events;Easy Setup in Minutes;Powerful Search & Alerts;Save what you see as a View;Modern User Interface;Tail -f Like a Boss;Debug & Troubleshoot Faster
Real-time visibility; Data Source Agnostic; AI & Machine Learning
Statistics
Stacks
97
Stacks
116
Followers
144
Followers
114
Votes
18
Votes
0
Pros & Cons
Pros
  • 6
    Easy setup
  • 4
    Cheap
  • 3
    Extremely fast
  • 2
    Powerful filtering and alerting functionality
  • 1
    Multi-cloud
Cons
  • 1
    Cannot copy & paste text from visualization
  • 1
    Limited visualization capabilities
No community feedback yet

What are some alternatives to LogDNA, Splunk Enterprise?

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

ELK

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

Sumo Logic

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

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