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DBMS > Crux vs. Microsoft Access vs. Microsoft Azure Cosmos DB

System Properties Comparison Crux vs. Microsoft Access vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameCrux  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionCrux is a general purpose database with bitemporal SQL and Datalog and graph queriesMicrosoft 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.)Globally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#328  Overall
#44  Document stores
Score114.94
Rank#10  Overall
#7  Relational DBMS
Score36.47
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitegithub.com/­juxt/­crux
opencrux.com
www.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­cosmos-db
Technical documentationopencrux.com/­reference/­installation.htmldeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­cosmos-db
DeveloperJuxt Ltd.MicrosoftMicrosoft
Initial release201919922014
Current release1.12.1, September 20201902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageClojureC++
Server operating systemsAll OS with a Java 8 (and higher) VM
Linux
Windows infoNot a real database server, but making use of DLLshosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, extensible-data-notation formatyesyes infoJSON types
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.no
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLlimited SQL, making use of Apache Calciteyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsHTTP REST
JDBC
ADO.NET
DAO
ODBC
OLE DB
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesClojure
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineJavaScript
Triggersnoyes infosince Access 2010 using the ACE-engineJavaScript
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, each node contains all datanoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes infobut no files for transaction loggingyes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Access rights can be defined down to the item level

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More resources
CruxMicrosoft AccessMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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