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DBMS > GigaSpaces vs. RisingWave vs. SiteWhere vs. Stardog

System Properties Comparison GigaSpaces vs. RisingWave vs. SiteWhere vs. Stardog

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonRisingWave  Xexclude from comparisonSiteWhere  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLM2M integration platform for persisting/querying time series dataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsGraph DBMS
Search engine
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
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.gigaspaces.comwww.risingwave.com/­databasegithub.com/­sitewhere/­sitewherewww.stardog.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.risingwave.com/­docs/­current/­intrositewhere1.sitewhere.io/­index.htmldocs.stardog.com
DeveloperGigaspaces TechnologiesRisingWave LabsSiteWhereStardog-Union
Initial release2000202220102010
Current release15.5, September 20201.2, September 20237.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetRustJavaJava
Server operating systemsLinux
macOS
Solaris
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeyespredefined schemeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesStandard SQL-types and JSONyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-99 for query and DML statementsyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
PostgreSQL wire protocol
HTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C++
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesUDFs in Python or Javauser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, event driven architecturenoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on HBaseMulti-source replication in HA-Cluster
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, ANYImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlRole-based access controlUsers and RolesUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
GigaSpacesRisingWaveSiteWhereStardog
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