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

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

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonLovefield  Xexclude from comparisonMonetDB  Xexclude from comparisonRisingWave  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 PostgreSQL
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational 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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.gigaspaces.comgoogle.github.io/­lovefieldwww.monetdb.orgwww.risingwave.com/­database
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.monetdb.org/­Documentationdocs.risingwave.com/­docs/­current/­intro
DeveloperGigaspaces TechnologiesGoogleMonetDB BVRisingWave Labs
Initial release2000201420042022
Current release15.5, September 20202.1.12, February 2017Dec2023 (11.49), December 20231.2, September 2023
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 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSON
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 metadatanono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query language infovia JavaScript builder patternyes infoSQL 2003 with some extensionsyes
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
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
Server-side scripts infoStored proceduresyesnoyes, in SQL, C, RUDFs in Python or Java
Triggersyes, event driven architectureUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding via remote tables
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 status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, 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.yesyes infousing MemoryDByes
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standardUsers and Roles

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More resources
GigaSpacesLovefieldMonetDBRisingWave
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