Apache Flume vs Gravwell
Overview
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CLI (Node.js)
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Detailed Comparison
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. | 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. |
| - | 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 | |
Stacks 48 | Stacks 5 |
Followers 120 | Followers 9 |
Votes 0 | Votes 11 |
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What are some alternatives to Apache Flume, Gravwell?
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
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
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 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 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
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 pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.
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
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
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.
