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

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

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuestDB  Xexclude from comparisonXAP  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 high performance, low latency Time Series DBMSHigh performant in-memory data grid for mission critical applications. Insight Edge from the same company extends XAP for AI/ML support, BI and other interfaces
Primary database modelWide column storeEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSDocument store
Key-value store infoValues are user defined objects
Secondary database modelsDocument store
Graph DBMS
Relational DBMSObject oriented 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
Score0.18
Rank#261  Overall
#19  Time Series DBMS
Score0.81
Rank#171  Overall
#27  Document stores
#30  Key-value stores
Websitewww.datastax.com/­products/­datastax-enterprisewww.ibm.com/­products/­db2-event-storeproducts.office.com/­en-us/­accesswww.questdb.iowww.gigaspaces.com/­products/­xap
Technical documentationdocs.datastax.comwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_1.1.2/­eventstore/­welcome.htmlmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxwww.questdb.io/­docs/­docstructuredocs.gigaspaces.com/­latest/­landing.html
DeveloperDataStaxIBMMicrosoftQuestDB LimitedGigaspaces Technologies
Initial release20112017199220142000
Current release6.7, December 20181.1.31902 (16.0.11328.20222), March 201914.5.0, June 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0Open Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, ScalaC++JavaJava, C++, .Net
Server operating systemsLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesyesschema-free
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.nononono infoXML can be used for describing objects metadata
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardSQL-like query languageSQL-like query language and DML statements
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
HTTP RESTGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
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
Java.Net
C++
Java
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenoyes
Triggersyesnoyes infosince Access 2010 using the ACE-enginenoyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnonehorizontal partitioning (by timestamps)Sharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingActive-active shard replicationnonenoneMaster-master replication infosynchronous or asynchronous
Master-slave replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infoMap-Reduce pattern can be built with XAP task executors
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 ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynonoyesnono
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 loggingACID for single-table writesACID
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.yesyesnoyes
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 2003Role-based access control
More information provided by the system vendor
Datastax EnterpriseIBM Db2 Event StoreMicrosoft AccessQuestDBXAP
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Datastax EnterpriseIBM Db2 Event StoreMicrosoft AccessQuestDBXAP
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