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DBMS > Datastax Enterprise vs. IBM Db2 Event Store vs. Microsoft Access vs. MonetDB vs. QuestDB

System Properties Comparison Datastax Enterprise vs. IBM Db2 Event Store vs. Microsoft Access vs. MonetDB vs. QuestDB

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Distributed Event Store optimized for Internet of Things use casesMicrosoft 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 relational database management system that stores data in columnsA high performance, low latency Time Series DBMS
Primary database modelWide column storeEvent Store
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.48
Rank#45  Overall
#4  Wide column stores
Score0.30
Rank#240  Overall
#2  Event Stores
#14  Time Series DBMS
Score128.06
Rank#9  Overall
#6  Relational DBMS
Score1.95
Rank#116  Overall
#56  Relational DBMS
Score0.18
Rank#261  Overall
#19  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.ibm.com/­products/­db2-event-storeproducts.office.com/­en-us/­accesswww.monetdb.orgwww.questdb.io
Technical documentationdocs.datastax.comwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_1.1.2/­eventstore/­welcome.htmlmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxwww.monetdb.org/­Documentationwww.questdb.io/­docs/­docstructure
DeveloperDataStaxIBMMicrosoftMonetDB BVQuestDB Limited
Initial release20112017199220042014
Current release6.7, December 20181.1.31902 (16.0.11328.20222), March 2019Nov2019-SP1, December 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoMozilla Public License 2.0Open Source infoAGPL 3.0
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 languageJavaC++, ScalaC++CJava
Server operating systemsLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardyes infoSQL 2003 with some extensionsSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineyes, in SQL, C, Rno
Triggersyesnoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingnoneSharding via remote tableshorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingActive-active shard replicationnonenone infoMaster-slave replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID infobut no files for transaction loggingACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replicationyes 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.yesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectUser level access controlno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard
More information provided by the system vendor
Datastax EnterpriseIBM Db2 Event StoreMicrosoft AccessMonetDBQuestDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more
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More resources
Datastax EnterpriseIBM Db2 Event StoreMicrosoft AccessMonetDBQuestDB
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