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DBMS > Microsoft Access vs. RavenDB vs. Sadas Engine vs. ToroDB vs. VictoriaMetrics

System Properties Comparison Microsoft Access vs. RavenDB vs. Sadas Engine vs. ToroDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonRavenDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonToroDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMicrosoft 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.)Open Source Operational and Transactional Enterprise NoSQL Document DatabaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA MongoDB-compatible JSON document store, built on top of PostgreSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSDocument storeRelational DBMSDocument storeTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessravendb.netwww.sadasengine.comgithub.com/­torodb/­servervictoriametrics.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessravendb.net/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftHibernating RhinosSADAS s.r.l.8KdataVictoriaMetrics
Initial release19922010200620162018
Current release1902 (16.0.11328.20222), March 20195.4, July 20228.0v1.91, May 2023
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license availablecommercial infofree trial version availableOpen Source infoAGPL-V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#C++JavaGo
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
AIX
Linux
Windows
All OS with a Java 7 VMFreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infostring, integer, double, boolean, date, object_id
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 indexesyesyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardSQL-like query language (RQL)yesno
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineyesnono
Triggersyes infosince Access 2010 using the ACE-engineyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnoneSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACID, Cluster-wide transaction availablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per databaseAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
Microsoft AccessRavenDBSadas EngineToroDBVictoriaMetrics
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