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DBMS > Amazon Neptune vs. Microsoft Access vs. TDSQL for MySQL vs. VictoriaMetrics vs. Warp 10

System Properties Comparison Amazon Neptune vs. Microsoft Access vs. TDSQL for MySQL vs. VictoriaMetrics vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudMicrosoft 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 solutionTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument 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
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.microsoft.com/­en-us/­microsoft-365/­accesswww.tencentcloud.com/­products/­dcdbvictoriametrics.comwww.warp10.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdeveloper.microsoft.com/­en-us/­accesswww.tencentcloud.com/­document/­product/­1042docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
www.warp10.io/­content/­02_Getting_started
DeveloperAmazonMicrosoftTencentVictoriaMetricsSenX
Initial release20171992201320182015
Current release1902 (16.0.11328.20222), March 2019v1.91, May 2023
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJava
Server operating systemshostedWindows infoNot a real database server, but making use of DLLshostedFreeBSD
Linux
macOS
OpenBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
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 indexesnoyesyesno
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardyesnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
HTTP API
Jupyter
WebSocket
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 proceduresnoyes infosince Access 2010 using the ACE-engineyesnoyes infoWarpScript
Triggersnoyes infosince Access 2010 using the ACE-engineyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic shardingSharding infobased on HBase
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 replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization conceptMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon NeptuneMicrosoft AccessTDSQL for MySQLVictoriaMetricsWarp 10
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