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DBMS > GreptimeDB vs. OrientDB vs. SQLite vs. TDengine

System Properties Comparison GreptimeDB vs. OrientDB vs. SQLite vs. TDengine

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonOrientDB  Xexclude from comparisonSQLite  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyMulti-model DBMS (Document, Graph, Key/Value)Widely used embeddable, in-process RDBMSTime Series DBMS and big data platform
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegreptime.comorientdb.orgwww.sqlite.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.greptime.comwww.orientdb.com/­docs/­last/­index.htmlwww.sqlite.org/­docs.htmldocs.tdengine.com
DeveloperGreptime Inc.OrientDB LTD; CallidusCloud; SAPDwayne Richard HippTDEngine, previously Taos Data
Initial release2022201020002019
Current release3.2.29, March 20243.46.0  (23 May 2024), May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoPublic DomainOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaCC
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java JDK (>= JDK 6)server-lessLinux
Windows
Data schemeschema-free, schema definition possibleschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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 indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query language, no joinsyes infoSQL-92 is not fully supportedStandard SQL with extensions for time-series applications
APIs and other access methodsgRPC
HTTP API
JDBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
RESTful HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresPythonJava, Javascriptnono
TriggersHooksyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSimple rights management via user accountsAccess rights for users and roles; record level security configurablenoyes
More information provided by the system vendor
GreptimeDBOrientDBSQLiteTDengine
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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