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Gravwell
ByDaveDave

Gravwell

#47in Log Management
Discussions0
Followers9
OverviewDiscussionsAdoptionAlternativesIntegrations
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What is Gravwell?

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.

Gravwell is a tool in the Log Management category of a tech stack.

Key Features

Ability for deployment in cloud, on-premises, or in an isolated on-premises network lacking outside network connectivityCapable of collecting disparate unstructured time-series data sources into a queryable data lakeEnable data scientists to create custom analysis code/tools to be executed as part of a search pipeline or query systemAnalysts 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 collectionCapable of data separation and fine-grained access controls for multi-tenancyData collectors or agents are modifiable by the customer to enable processing, filtering, or enrichment before forwarding to the central storeMassive scalability. Over 100 Terabytes a day is no problem.Unlimited data ingestionUnlimited retentionLive DashboardsSecure and ProprietaryOffline ("Cold") and online ("Hot") replicationRegion-aware redundancyMulti-tenancy Permissions & Unlimited user seatsBinary data supportConfigurable data retention and automatic age-outDistributed web frontendsUnlimited search count

Gravwell Pros & Cons

Pros of Gravwell

  • ✓Dashboards
  • ✓Easy to use GUI
  • ✓Great customer support
  • ✓Highly scalable and performant
  • ✓Indexing on writes
  • ✓Ingest native/raw data and query later
  • ✓Multi-tenancy
  • ✓No storage-based pricing
  • ✓Query supports joins on binary data
  • ✓Rapid deployment

Cons of Gravwell

  • ✗Query language is a lot to learn

Gravwell Alternatives & Comparisons

What are some alternatives to Gravwell?

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.

Logback

Logback

It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.

SLF4J

SLF4J

It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time.

Serilog

Serilog

It provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms.

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.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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