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LogDNA vs Loggly: What are the differences?
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- Data Ingestion: LogDNA offers automatic parsing and indexing of log data, while Loggly allows you to define custom parsing rules for log data ingestion.
- Search Capabilities: LogDNA provides a live tail feature that updates in real-time, while Loggly offers advanced search functionality through its powerful query language.
- User Interface: LogDNA has a simple and user-friendly interface designed for ease of use, while Loggly provides a more complex interface with a steeper learning curve.
- Alerting and Monitoring: LogDNA includes built-in alerting features for log monitoring, while Loggly offers more customizable alerting options with integration capabilities.
- Cost and Pricing: LogDNA pricing is based on daily log volume, while Loggly pricing is based on data retention and features tiers.
- Integration Options: LogDNA has native integrations with various platforms such as AWS, Kubernetes, and more, whereas Loggly offers a wider range of integrations with third-party tools and services.
In Summary, LogDNA and Loggly differ in data ingestion methods, search capabilities, user interface, alerting and monitoring options, cost structure, and integration possibilities.
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Learn MorePros of LogDNA
Pros of Loggly
Pros of LogDNA
- Easy setup6
- Cheap4
- Extremely fast3
- Powerful filtering and alerting functionality2
- Graphing capabilities1
- Export data to S31
- Multi-cloud1
Pros of Loggly
- Centralized log management37
- Easy to setup25
- Great filtering21
- Live logging16
- Json log support15
- Log Management10
- Alerting10
- Great Dashboards7
- Love the product7
- Heroku Add-on4
- Easy to setup and use2
- Easy setup2
- No alerts in free plan2
- Great UI2
- Good parsing2
- Powerful2
- Fast search2
- Backup to S32
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Cons of LogDNA
Cons of Loggly
Cons of LogDNA
- Limited visualization capabilities1
- Cannot copy & paste text from visualization1
Cons of Loggly
- Pricey after free plan3
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What is LogDNA?
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
What is 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.
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What companies use LogDNA?
What companies use Loggly?
What companies use LogDNA?
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What tools integrate with LogDNA?
What tools integrate with Loggly?
What tools integrate with LogDNA?
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What are some alternatives to LogDNA and Loggly?
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
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.
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.