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DBMS > Lovefield vs. OceanBase vs. Spark SQL vs. Trafodion

System Properties Comparison Lovefield vs. OceanBase vs. Spark SQL vs. Trafodion

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonOceanBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA distributed, high available RDBMS compatible with Oracle and MySQLSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegoogle.github.io/­lovefielden.oceanbase.comspark.apache.org/­sqltrafodion.apache.org
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mden.oceanbase.com/­docs/­oceanbase-databasespark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperGoogleOceanBase infopreviously Alibaba and Ant GroupApache Software FoundationApache Software Foundation, originally developed by HP
Initial release2014201020142014
Current release2.1.12, February 20174.3.0, April 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoCommercial license availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++ScalaC++, Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinux
OS X
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScriptAda infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modenoJava Stored Procedures
TriggersUsing read-only observersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)yes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using Paxosnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
LovefieldOceanBaseSpark SQLTrafodion
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