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DBMS > Google Cloud Datastore vs. Hyprcubd vs. Ingres vs. JanusGraph vs. SiteWhere

System Properties Comparison Google Cloud Datastore vs. Hyprcubd vs. Ingres vs. JanusGraph vs. SiteWhere

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSiteWhere  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformServerless Time Series DBMSWell established RDBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017M2M integration platform for persisting/querying time series data
Primary database modelDocument storeTime Series DBMSRelational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitecloud.google.com/­datastorehyprcubd.com (offline)www.actian.com/­databases/­ingresjanusgraph.orggithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­datastore/­docsdocs.actian.com/­ingresdocs.janusgraph.orgsitewhere1.sitewhere.io/­index.html
DeveloperGoogleHyprcubd, Inc.Actian CorporationLinux Foundation; originally developed as Titan by AureliusSiteWhere
Initial release20081974 infooriginally developed at University Berkely in early 1970s20172010
Current release11.2, May 20220.6.3, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCJavaJava
Server operating systemshostedhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyes, details hereyes infotime, int, uint, float, stringyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languageyesnono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresusing Google App Enginenoyesyes
TriggersCallbacks using the Google Apps Enginenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosIngres Replicatoryesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)token accessfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept

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More resources
Google Cloud DatastoreHyprcubdIngresJanusGraph infosuccessor of TitanSiteWhere
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