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DBMS > GigaSpaces vs. Lovefield vs. MonetDB vs. RisingWave vs. TimesTen

System Properties Comparison GigaSpaces vs. Lovefield vs. MonetDB vs. RisingWave vs. TimesTen

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonLovefield  Xexclude from comparisonMonetDB  Xexclude from comparisonRisingWave  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable relational database for web apps written in pure JavaScriptA relational database management system that stores data in columnsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.gigaspaces.comgoogle.github.io/­lovefieldwww.monetdb.orgwww.risingwave.com/­databasewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.monetdb.org/­Documentationdocs.risingwave.com/­docs/­current/­introdocs.oracle.com/­database/­timesten-18.1
DeveloperGigaspaces TechnologiesGoogleMonetDB BVRisingWave LabsOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20002014200420221998
Current release15.5, September 20202.1.12, February 2017Dec2023 (11.49), December 20231.2, September 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open 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 languageJava, C++, .NetJavaScriptCRust
Server operating systemsLinux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSONyes
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.no infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query language infovia JavaScript builder patternyes infoSQL 2003 with some extensionsyesyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
PostgreSQL wire protocol
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C++
Java
Python
Scala
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnoyes, in SQL, C, RUDFs in Python or JavaPL/SQL
Triggersyes, event driven architectureUsing read-only observersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
nonenone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes 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.yesyes infousing MemoryDByesyes
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standardUsers and Rolesfine grained access rights according to SQL-standard

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More resources
GigaSpacesLovefieldMonetDBRisingWaveTimesTen
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