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DBMS > AgensGraph vs. LevelDB vs. Lovefield vs. TDengine vs. Tkrzw

System Properties Comparison AgensGraph vs. LevelDB vs. Lovefield vs. TDengine vs. Tkrzw

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonLevelDB  Xexclude from comparisonLovefield  Xexclude from comparisonTDengine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable relational database for web apps written in pure JavaScriptTime Series DBMS and big data platformA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitebitnine.net/­agensgraphgithub.com/­google/­leveldbgoogle.github.io/­lovefieldgithub.com/­taosdata/­TDengine
tdengine.com
dbmx.net/­tkrzw
Technical documentationbitnine.net/­documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.tdengine.com
DeveloperBitnine Global Inc.GoogleGoogleTDEngine, previously Taos DataMikio Hirabayashi
Initial release20162011201420192020
Current release2.1, December 20181.23, February 20212.1.12, February 20173.0, August 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSDOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++JavaScriptCC++
Server operating systemsLinux
OS X
Windows
Illumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Linux
macOS
Data schemedepending on used data modelschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoSQL-like query language infovia JavaScript builder patternStandard SQL with extensions for time-series applicationsno
APIs and other access methodsCypher Query Language
JDBC
JDBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScriptC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnononono
TriggersnonoUsing read-only observersyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyesno
More information provided by the system vendor
AgensGraphLevelDBLovefieldTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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