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DBMS > VictoriaLogs

VictoriaLogs Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit VictoriaLogs zu vergleichen.

Unsere Besucher vergleichen VictoriaLogs oft mit Google BigQuery, AnzoGraph DB und Ingres.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameVictoriaLogs infoVictoriaLogs is a database we designed for logs. It works with both structured and unstructured logs, automatically indexing all fields to allow for full-text search. During ingestion, it flattens nested JSON into a single level. To optimize storage and query performance, the data is organized into "log streams," and the system uses a log-structured merge-tree (LSM tree) data structure.
KurzbeschreibungVictoriaLogs is a database we designed for logs. It works with both structured and unstructured logs, automatically indexing all fields to allow for full-text search.
Primäres DatenbankmodellSuchmaschine
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,10
Rang#338  Overall
#22  Suchmaschinen
Websitevictoriametrics.com/­products/­victorialogs
Technische Dokumentationdocs.victoriametrics.com/­victorialogs
EntwicklerVictoriaMetrics
Erscheinungsjahr2024
Aktuelle VersionThe most recent public release of VictoriaLogs is v1.32.0. You can find details about this release, including new features and bug fixes for things like the web UI and data ingestion, in our changelog and on our GitHub releases page.
Lizenz infoCommercial or Open SourceOpen Source Apache License 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarNo
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheGo
Server BetriebssystemeFreeBSD
Linux
OpenBSD
OS X
Solaris
Windows
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTNo
SQL infoSupport of SQLNo
APIs und andere ZugriffskonzepteElasticsearch bulk API
Journald export format
JSON stream API (a.k.a ndjson)
Loki JSON API
OpenTelemetry API
Syslog
TriggersNo
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenYes
MapReduce infoBietet ein API für Map/Reduce OperationenNo
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemYes
Fremdschlüssel inforeferenzielle IntegritätNo
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenNo
Concurrency infoUnterstützung von gleichzeitig ausgeführten DatenmanipulationenYes
Durability infoDauerhafte Speicherung der DatenYes
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenNo
Weitere Informationen bereitgestellt vom Systemhersteller
VictoriaLogs infoVictoriaLogs is a database we designed for logs. It works with both structured and unstructured logs, automatically indexing all fields to allow for full-text search. During ingestion, it flattens nested JSON into a single level. To optimize storage and query performance, the data is organized into "log streams," and the system uses a log-structured merge-tree (LSM tree) data structure.
Specific characteristicsWe built VictoriaLogs to be resource-efficient, using significantly less RAM and disk space than competitors. It's designed for operational simplicity with a single binary that works in a "~zero-config" way. This single binary can run as a single node or as a component of a cluster with just one configuration change. The system is also optimized for "wide events" containing hundreds of fields and efficiently handles high-cardinality data. ● High performance and scalability: Single binary can scale horizontally by running in a cluster mode with a simple flag change. It scales linearly with available resources in both single-node and cluster deployments. ● Resource-efficient: Uses up to 30x less RAM and 15x less disk space compared to other solutions. ● Easy to use: The ~zero-config approach and flexible single binary make it easy to set up and operate. ● Powerful querying: We use our own query language, LogsQL, for fast full-text search and log analysis. ● High-cardinality and wide event support: The system efficiently handles logs with a high number of unique values and many fields. ● Open-source: The software is open-source and free to use.
Competitive advantagesOur competitive advantages are based on an architecture that provides strong performance and efficiency. Key benefits include: ● Resource Efficiency: Advanced compression, allows you to store more data with less disk space and memory compared to other systems. ● Query Performance: Innovative indexing approach with automatically adjusted bloom filters, which leads to faster "haystack" searches than systems using inverted indexes. ● Operational Simplicity: The single-binary design allows you to deploy and manage VictoriaLogs with minimal effort. It can run as a single node or be configured to join a cluster with one command-line flag. ● Cost-Effective Scalability: The combination of resource efficiency and straightforward operation provides a solution that is both high-performing and reduces your total cost of ownership as your data volume increases.
Typical application scenarios● SRE, DevOps, and SE engineers, who need a reliable and scalable logging platform. ● IoT devices ● Organizations of all sizes that must manage and analyze large log volumes, whether starting with a single node or scaling to a full cluster. ● Users in containerized environments like Kubernetes. ● Companies seeking a cost-effective alternative to other resource-intensive log management solutions.
Key customersVictoriaLogs is designed for users and companies that have experienced performance and cost issues with traditional logging systems. Our documentation notes that a single-node VictoriaLogs can replace a large Elasticsearch cluster, which highlights its appeal to organizations with high-volume logging needs.
Market metrics● 1B+ downloads across our products. ● 14.9K+ stars on GitHub. ● A growing Slack community with over 4.5K members.
Licensing and pricing modelsThe core VictoriaLogs product is an open-source database that is free forever. We offer commercial plans for our broader suite of products, which includes VictoriaMetrics Cloud, a fully managed service, and VictoriaMetrics Enterprise, which provides enterprise-grade features and support. ● Our commercial offerings are based on a "Pay-as-You-Go" model and custom quotes for different support tiers (Silver, Gold, Platinum). ● These options provide managed services and support directly from our engineering team, which is useful for mission-critical deployments and organizations that require a higher level of service.

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Weitere Ressourcen
VictoriaLogs infoVictoriaLogs is a database we designed for logs. It works with both structured and unstructured logs, automatically indexing all fields to allow for full-text search. During ingestion, it flattens nested JSON into a single level. To optimize storage and query performance, the data is organized into "log streams," and the system uses a log-structured merge-tree (LSM tree) data structure.
Erwähnungen in aktuellen Nachrichten

VictoriaMetrics/VictoriaMetrics: VictoriaMetrics: fast, cost-effective monitoring solution and time series database
5. Oktober 2018, GitHub

VictoriaMetrics
6. Oktober 2018, GitHub

Grafana dashboards
10. Oktober 2019, Grafana

Proxmox VE Helper-Scripts
8. November 2024, community-scripts.github.io

VictoriaLogs: LogsQL
29. Januar 2024, VictoriaMetrics

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