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DBMS > Google Cloud Datastore vs. Hyprcubd vs. IBM Db2 Event Store vs. Ingres vs. SiteWhere

System Properties Comparison Google Cloud Datastore vs. Hyprcubd vs. IBM Db2 Event Store vs. Ingres vs. SiteWhere

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHyprcubd  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIngres  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 DBMSDistributed Event Store optimized for Internet of Things use casesWell established RDBMSM2M integration platform for persisting/querying time series data
Primary database modelDocument storeTime Series DBMSEvent Store
Time Series DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.87
Rank#78  Overall
#12  Document stores
Score0.25
Rank#320  Overall
#2  Event Stores
#28  Time Series DBMS
Score5.15
Rank#74  Overall
#40  Relational DBMS
Score0.05
Rank#381  Overall
#41  Time Series DBMS
Websitecloud.google.com/­datastorehyprcubd.com (offline)www.ibm.com/­products/­db2-event-storewww.actian.com/­databases/­ingresgithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­datastore/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.actian.com/­ingressitewhere1.sitewhere.io/­index.html
DeveloperGoogleHyprcubd, Inc.IBMActian CorporationSiteWhere
Initial release200820171974 infooriginally developed at University Berkely in early 1970s2010
Current release2.011.2, May 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercialOpen 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 languageGoC and C++CJava
Server operating systemshostedhostedLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
Solaris
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.nononono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languageyes infothrough the embedded Spark runtimeyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC (https)ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresusing Google App Enginenoyesyes
TriggersCallbacks using the Google Apps Enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosActive-active shard replicationIngres Replicatorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
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 ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoNo - written data is immutableyes infoMVCCyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
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-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Google Cloud DatastoreHyprcubdIBM Db2 Event StoreIngresSiteWhere
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