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DBMS > Amazon Neptune vs. GeoSpock vs. Microsoft Access vs. TDSQL for MySQL vs. VictoriaMetrics

System Properties Comparison Amazon Neptune vs. GeoSpock vs. Microsoft Access vs. TDSQL for MySQL vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudSpatial and temporal data processing engine for extreme data scaleMicrosoft 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.)A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteaws.amazon.com/­neptunegeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.tencentcloud.com/­products/­dcdbvictoriametrics.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdeveloper.microsoft.com/­en-us/­accesswww.tencentcloud.com/­document/­product/­1042docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAmazonGeoSpockMicrosoftTencentVictoriaMetrics
Initial release2017199220132018
Current release2.0, September 20191902 (16.0.11328.20222), March 2019v1.91, May 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++Go
Server operating systemshostedhostedWindows infoNot a real database server, but making use of DLLshostedFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnotemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineyesno
Triggersnonoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingnoneAutomatic sharding
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.noneMulti-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept

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More resources
Amazon NeptuneGeoSpockMicrosoft AccessTDSQL for MySQLVictoriaMetrics
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