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DBMS > Lovefield vs. Percona Server for MongoDB vs. Splice Machine vs. TerarkDB vs. TimesTen

System Properties Comparison Lovefield vs. Percona Server for MongoDB vs. Splice Machine vs. TerarkDB vs. TimesTen

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#281  Overall
#133  Relational DBMS
Score0.75
Rank#207  Overall
#34  Document stores
Score0.77
Rank#200  Overall
#95  Relational DBMS
Score0.00
Rank#357  Overall
#56  Key-value stores
Score1.67
Rank#136  Overall
#68  Relational DBMS
Websitegoogle.github.io/­lovefieldwww.percona.com/­software/­mongodb/­percona-server-for-mongodbsplicemachine.comgithub.com/­Terark/­terarkdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmldoc.splicemachine.comgithub.com/­Terark/­terarkdb/­wikidocs.oracle.com/­database/­timesten-18.1
DeveloperGooglePerconaSplice MachineTerarkOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20142015201420161998
Current release2.1.12, February 20173.4.10-2.10, November 20173.1, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL Version 2Open Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++JavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesschema-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 indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnoyesnoyes
APIs and other access methodsproprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
C++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesJavaScriptActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoJavaScriptyes infoJavanoPL/SQL
TriggersUsing read-only observersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes infovia In-Memory Engineyesyesyes
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
LovefieldPercona Server for MongoDBSplice MachineTerarkDBTimesTen
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More resources
LovefieldPercona Server for MongoDBSplice MachineTerarkDBTimesTen
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