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DBMS > Google Cloud Bigtable vs. Microsoft Access vs. Oracle Coherence vs. SAP IQ vs. Yaacomo

System Properties Comparison Google Cloud Bigtable vs. Microsoft Access vs. Oracle Coherence vs. SAP IQ vs. Yaacomo

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Oracles in-memory data grid solutionColumnar RDBMS optimized for Big Data analyticsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value store
Wide column store
Relational DBMSKey-value storeRelational DBMS infocolumn-orientedRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score2.64
Rank#108  Overall
#52  Relational DBMS
Websitecloud.google.com/­bigtablewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherencewww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlyaacomo.com
Technical documentationcloud.google.com/­bigtable/­docsdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherencehelp.sap.com/­docs/­SAP_IQ
DeveloperGoogleMicrosoftOracleSAP, formerly SybaseQ2WEB GmbH
Initial release20151992200719942009
Current release1902 (16.0.11328.20222), March 201914.1, August 202316.1 SPS04, April 2019
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Android
Linux
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoyesyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
C
C#
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenoyes
Triggersnoyes infosince Access 2010 using the ACE-engineyes infoLive Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingshared disk or shared nothing architectures with SAP IQ Multiplexerhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes, with selectable consistency levelSAP/Sybase Replication ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infobut no files for transaction loggingconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableMicrosoft AccessOracle CoherenceSAP IQ infoformer name: Sybase IQYaacomo
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