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DBMS > GreptimeDB vs. HEAVY.AI vs. Lovefield vs. TDengine

System Properties Comparison GreptimeDB vs. HEAVY.AI vs. Lovefield vs. TDengine

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptTime Series DBMS and big data platform
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegreptime.comgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.greptime.comdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.tdengine.com
DeveloperGreptime Inc.HEAVY.AI, Inc.GoogleTDEngine, previously Taos Data
Initial release2022201620142019
Current release5.10, January 20222.1.12, February 20173.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++ and CUDAJavaScriptC
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesyesSQL-like query language infovia JavaScript builder patternStandard SQL with extensions for time-series applications
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Vega
JDBC
RESTful HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresPythonnonono
TriggersnoUsing read-only observersyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
GreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldTDengine
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
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TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
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Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
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TDengine OSS is an open source, cloud native time series database. It includes built-in...
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More resources
GreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldTDengine
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