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Apache Flume vs Loggly: What are the differences?
What is Apache Flume? A service for collecting, aggregating, and moving large amounts of log data. It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.
What is Loggly? Log Management, Simplified in the Cloud. The world's most popular cloud-based log management service delivers application intelligence.
Apache Flume and Loggly can be primarily classified as "Log Management" tools.
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Learn MorePros of Apache Flume
Pros of Loggly
Pros of Apache Flume
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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 Apache Flume
Cons of Loggly
Cons of Apache Flume
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Cons of Loggly
- Pricey after free plan3
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What is Apache Flume?
It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.
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 Apache Flume?
What companies use Loggly?
What companies use Apache Flume?
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What tools integrate with Apache Flume?
What tools integrate with Loggly?
What tools integrate with Apache Flume?
No integrations found
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What are some alternatives to Apache Flume and Loggly?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
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.
Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.