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DBMS > Lovefield vs. Splice Machine vs. Tkrzw

System Properties Comparison Lovefield vs. Splice Machine vs. Tkrzw

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonSplice Machine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
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 SparkA 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 modelRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#275  Overall
#127  Relational DBMS
Score0.86
Rank#185  Overall
#89  Relational DBMS
Score0.02
Rank#340  Overall
#54  Key-value stores
Websitegoogle.github.io/­lovefieldsplicemachine.comdbmx.net/­tkrzw
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.splicemachine.com
DeveloperGoogleSplice MachineMikio Hirabayashi
Initial release201420142020
Current release2.1.12, February 20173.1, March 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesno
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoJavano
TriggersUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes, 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.yes infousing MemoryDByesyes infousing specific database classes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
LovefieldSplice MachineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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LovefieldSplice MachineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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