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DBMS > Google Cloud Bigtable vs. Graph Engine vs. JaguarDB vs. Microsoft Access

System Properties Comparison Google Cloud Bigtable vs. Graph Engine vs. JaguarDB vs. Microsoft Access

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginePerformant, highly scalable DBMS for AI and IoT applicationsMicrosoft 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.)
Primary database modelKey-value store
Wide column store
Graph DBMS
Key-value store
Key-value store
Vector DBMS
Relational 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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitecloud.google.com/­bigtablewww.graphengine.iowww.jaguardb.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationcloud.google.com/­bigtable/­docswww.graphengine.io/­docs/­manualwww.jaguardb.com/­support.htmldeveloper.microsoft.com/­en-us/­access
DeveloperGoogleMicrosoftDataJaguar, Inc.Microsoft
Initial release2015201020151992
Current release3.3 July 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGPL V3.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++ infothe server part. Clients available in other languagesC++
Server operating systemshosted.NETLinuxWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infobut not compliant to any SQL standard
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesnoyes infosince Access 2010 using the ACE-engine
Triggersnononoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsno infoa simple user-level security was built in till version Access 2003

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More resources
Google Cloud BigtableGraph Engine infoformer name: TrinityJaguarDBMicrosoft Access
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