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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIngres  Xexclude from comparisonSiteWhere  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDistributed Event Store optimized for Internet of Things use casesWell established RDBMSM2M integration platform for persisting/querying time series dataA fast and solid embedded Key-value store
Primary database modelDocument storeEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitecloud.google.com/­datastorewww.ibm.com/­products/­db2-event-storewww.actian.com/­databases/­ingresgithub.com/­sitewhere/­sitewhereyottadb.com
Technical documentationcloud.google.com/­datastore/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.actian.com/­ingressitewhere1.sitewhere.io/­index.htmlyottadb.com/­resources/­documentation
DeveloperGoogleIBMActian CorporationSiteWhereYottaDB, LLC
Initial release200820171974 infooriginally developed at University Berkely in early 1970s20102001
Current release2.011.2, May 2022
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CJavaC
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeschema-freeyesyespredefined schemeschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyesno
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 indexesyesnoyesnono
SQL infoSupport of SQLSQL-like query language (GQL)yes infothrough the embedded Spark runtimeyesnoby using the Octo plugin
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP RESTPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
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
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresusing Google App Engineyesyes
TriggersCallbacks using the Google Apps Enginenoyes
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 HBaseyes
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes infoMVCCyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptUsers and groups based on OS-security mechanisms

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More resources
Google Cloud DatastoreIBM Db2 Event StoreIngresSiteWhereYottaDB
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