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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Fluent Bit vs Gravwell

Fluent Bit vs Gravwell

OverviewComparisonAlternatives

Overview

Fluent Bit
Fluent Bit
Stacks67
Followers27
Votes0
GitHub Stars7.4K
Forks1.8K
Gravwell
Gravwell
Stacks5
Followers9
Votes11

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Detailed Comparison

Fluent Bit
Fluent Bit
Gravwell
Gravwell

It is a super fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments.

It is the most flexible full-stack analytics platform in the world. We excel at fusing disparate data sources such as firewall logs, end point event logs, network traffic, OT IDS logs, OT process data, threat feed data, etc. to create a central source of knowledge. Created in the IoT age we know modern data insights demand unlimited ingest and analysis capability for cybersecurity, IoT, business analytics, and more. We support a wide range of customers, from energy production, energy delivery, government, finance, and insurance to health and beauty products.

Designed with performance in mind; Prometheus and OpenTelemetry compatible; Stream processing functionality; Robust I/O handler
Ability for deployment in cloud, on-premises, or in an isolated on-premises network lacking outside network connectivity; Capable of collecting disparate unstructured time-series data sources into a queryable data lake; Enable data scientists to create custom analysis code/tools to be executed as part of a search pipeline or query system; Analysts and data scientists have access to raw entry records for retroactive analysis and application of machine learning that did not exist at the time of collection; Capable of data separation and fine-grained access controls for multi-tenancy; Data collectors or agents are modifiable by the customer to enable processing, filtering, or enrichment before forwarding to the central store; Massive scalability. Over 100 Terabytes a day is no problem. ; Unlimited data ingestion; Unlimited retention; Live Dashboards; Secure and Proprietary; Offline ("Cold") and online ("Hot") replication; Region-aware redundancy; Multi-tenancy Permissions & Unlimited user seats; Binary data support; Configurable data retention and automatic age-out; Distributed web frontends; Unlimited search count
Statistics
GitHub Stars
7.4K
GitHub Stars
-
GitHub Forks
1.8K
GitHub Forks
-
Stacks
67
Stacks
5
Followers
27
Followers
9
Votes
0
Votes
11
Pros & Cons
No community feedback yet
Pros
  • 1
    Query supports joins on binary data
  • 1
    Ingest native/raw data and query later
  • 1
    Highly scalable and performant
  • 1
    Indexing on writes
  • 1
    No storage-based pricing
Cons
  • 1
    Query language is a lot to learn

What are some alternatives to Fluent Bit, Gravwell?

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.

Seq

Seq

Seq is a self-hosted server for structured log search, analysis, and alerting. It can be hosted on Windows or Linux/Docker, and has integrations for most popular structured logging libraries.

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.

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