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DBMS > Lovefield vs. Splice Machine vs. TDengine vs. Tkrzw vs. Yaacomo

System Properties Comparison Lovefield vs. Splice Machine vs. TDengine vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDengine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionEmbeddable relational database for web apps written in pure JavaScriptOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime 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 CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitegoogle.github.io/­lovefieldsplicemachine.comgithub.com/­taosdata/­TDengine
tdengine.com
dbmx.net/­tkrzwyaacomo.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsplicemachine.com/­how-it-worksdocs.tdengine.com
DeveloperGoogleSplice MachineTDEngine, previously Taos DataMikio HirabayashiQ2WEB GmbH
Initial release20142014201920202009
Current release2.1.12, February 20173.1, March 20213.0, August 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3, also commercial editions availableOpen Source infoApache Version 2.0commercial
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 languageJavaScriptJavaCC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Solaris
Windows
Linux
Windows
Linux
macOS
Android
Linux
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesStandard SQL with extensions for time-series applicationsnoyes
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoJavanono
TriggersUsing read-only observersyesyes, via alarm monitoringnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyes infousing specific database classesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
LovefieldSplice MachineTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
Specific characteristicsTDengineā„¢ 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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More resources
LovefieldSplice MachineTDengineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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