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DBMS > Amazon Neptune vs. Google Cloud Spanner vs. Hypertable vs. Microsoft Access

System Properties Comparison Amazon Neptune vs. Google Cloud Spanner vs. Hypertable vs. Microsoft Access

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An open source BigTable implementation based on distributed file systems such as HadoopMicrosoft 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 modelGraph DBMS
RDF store
Relational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websiteaws.amazon.com/­neptunecloud.google.com/­spannerwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationaws.amazon.com/­neptune/­developer-resourcescloud.google.com/­spanner/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperAmazonGoogleHypertable Inc.Microsoft
Initial release2017201720091992
Current release0.9.8.11, March 20161902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU version 3. Commercial license availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedhostedLinux
OS X
Windows infoan inofficial Windows port is available
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nono
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011noyes infobut not compliant to any SQL standard
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
C++ API
Thrift
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engine
Triggersnononoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication with 3 replicas for regional instances.selectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes 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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono infoa simple user-level security was built in till version Access 2003

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More resources
Amazon NeptuneGoogle Cloud SpannerHypertableMicrosoft Access
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