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DBMS > GreptimeDB

GreptimeDB Systemeigenschaften

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

Unsere Besucher vergleichen GreptimeDB oft mit InfluxDB, TimescaleDB und QuestDB.

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NameGreptimeDB
KurzbeschreibungAn open source Time Series DBMS built for increased scalability, high performance and efficiency
Primäres DatenbankmodellTime Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,05
Rang#352  Overall
#34  Time Series DBMS
Websitegreptime.com
Technische Dokumentationdocs.greptime.com
EntwicklerGreptime Inc.
Erscheinungsjahr2022
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheRust
Server BetriebssystemeAndroid
Docker
FreeBSD
Linux
macOS
Windows
Datenschemaschema-free, schema definition possible
Typisierung infovordefinierte Datentypen, z.B. float oder dateja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein
Sekundärindizesja
SQL infoSupport of SQLja
APIs und andere ZugriffskonzeptegRPC
HTTP API
JDBC
Unterstützte ProgrammiersprachenC++
Erlang
Go
Java
JavaScript
Server-seitige Scripts infoStored ProceduresPython
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding
MapReduce infoBietet ein API für Map/Reduce Operationennein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
Berechtigungskonzept infoZugriffskontrolleSimple rights management via user accounts
Weitere Informationen bereitgestellt vom Systemhersteller
GreptimeDB
Specific characteristics


GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch by using the most loved programming language, Rust. It writes over 100,000,000 datapoint/second and queries tens of millions of KPIs per second for alerting and anomaly detection purposes. 

Competitive advantages

- Inherits advantages of Rust, such as excellent performance, memory safe, resource efficient, etc. 

- Is not limited to being used in the cloud environment or standalone version, users can deploy clusters based on actual data volume. 

- Stores legacy data at a lower cost through hot-cold separation architecture, decoupling of storage and compute, efficient compression algorithms and built-in downsampling method.

Typical application scenarios

For IoT industries, GreptimeDB can seamless integrate with message queues and other data ingestion channels; can be used for data lifecycle management, data modeling, data quality assurance and monitoring. It has low cost storage which helps the company saves a large amount of IT fixed spendings. It also provides powerful analytical capabilities, such as predict and detect anomalies, and integrate well with popular BI and Machine learning platforms.  

For Observability, our solutions enable real-time alerting, provides accurate and various notifiers. Assist AIOps with anomaly detection, root cause diagnosis, correlation analysis, etc. can also monitor changes like updates, stress testing, capacity planning, cyberattack simulation, and allows for customization.

For Autonomous Vehicles, not only can GreptimeDB helps store data produced
during the lifecycle of electronic vehicles from assembling, production to daily monitoring and maintenance at a low cost, it can also matches and queries historical time series data during testing phase, and locates the test process to find the root cause of the issue. Then performs correlation analysis by finding patterns among several sets of data.

Key customers

Greptime's clients span multiple sectors including IoT, connected vehicles, and energy and power. Leading new energy automotive firms, such as Li Auto, are among the early adopters of our innovative vehicle-cloud integration solution. Prominent organizations including the State Grid Corporation of China and SignalPlus have also turned to GreptimeDB, leveraging its advanced capabilities to tap into the potential of time-series data with greater efficiency.

Market metrics

GreptimeDB has garnered global recognition by topping GitHub trends following its open source release. It boasts a diverse international user base, exceeding 40,000 installations, and has attracted contributions from over 50 developers worldwide.

Licensing and pricing models

GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series & Analytical Processing (HTiAP). 

GitHub links: https://github.com/GreptimeTeam/greptimedb

GreptimeCloud: a serverless, Prometheus-compatible time-series database that seamlessly integrates with GitOps-enabled alerting and dashboarding. It features multi-tenant & multi-cloud support and provides immediate value out of the box and utilizes the pay-as-you-go pricing model. Now available in three plans: Serverless, Dedicated and BYOC.

GreptimeAI: The observability solution for LLM Apps that help LLM developers gain comprehensive insights into the cost, performance, feedback, traces of their LLM applications.

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