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DBMS > GreptimeDB

GreptimeDB System Properties

Please select another system to compare it with GreptimeDB.

Our visitors often compare GreptimeDB with InfluxDB, TDengine and Datomic.

Editorial information provided by DB-Engines
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Rank#368  Overall
#37  Time Series DBMS
Technical documentationdocs.greptime.com
DeveloperGreptime Inc.
Initial release2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust
Server operating systemsAndroid
Data schemeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyes
SQL infoSupport of SQLyes
APIs and other access methodsgRPC
Supported programming languagesC++
Server-side scripts infoStored proceduresPython
Partitioning methods infoMethods for storing different data on different nodesSharding
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlSimple rights management via user accounts
More information provided by the system vendor
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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