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DBMS > EXASOL vs. Google Cloud Datastore vs. jBASE vs. RDF4J vs. SiteWhere

System Properties Comparison EXASOL vs. Google Cloud Datastore vs. jBASE vs. RDF4J vs. SiteWhere

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonjBASE  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA robust multi-value DBMS comprising development tools and middlewareRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.M2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument storeMultivalue DBMSRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score1.43
Rank#160  Overall
#3  Multivalue DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Websitewww.exasol.comcloud.google.com/­datastorewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaserdf4j.orggithub.com/­sitewhere/­sitewhere
Technical documentationwww.exasol.com/­resourcescloud.google.com/­datastore/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9rdf4j.org/­documentationsitewhere1.sitewhere.io/­index.html
DeveloperExasolGoogleRocket Software (formerly Zumasys)Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.SiteWhere
Initial release20002008199120042010
Current release5.7
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedAIX
Linux
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes infoRDF Schemaspredefined scheme
Typing infopredefined data types such as float or dateyesyes, details hereoptionalyesyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query language (GQL)Embedded SQL for jBASE in BASICnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP REST
Supported programming languagesJava
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsusing Google App Engineyesyes
TriggersyesCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelnoUsers with fine-grained authorization concept

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More resources
EXASOLGoogle Cloud DatastorejBASERDF4J infoformerly known as SesameSiteWhere
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