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

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

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Access  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 casesA Java embedded Key-Value Store which extends the Java Map interfaceMicrosoft 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 DBMS
Primary database modelWide column storeEvent Store
Time Series DBMS
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Relational 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
Score0.06
Rank#306  Overall
#51  Key-value stores
Score128.06
Rank#9  Overall
#6  Relational DBMS
Score0.18
Rank#261  Overall
#19  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.ibm.com/­products/­db2-event-storeboilerbay.comproducts.office.com/­en-us/­accesswww.questdb.io
Technical documentationdocs.datastax.comwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_1.1.2/­eventstore/­welcome.htmlboilerbay.com/­infinitydb/­manualmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxwww.questdb.io/­docs/­docstructure
DeveloperDataStaxIBMBoiler Bay Inc.MicrosoftQuestDB Limited
Initial release20112017200219922014
Current release6.7, December 20181.1.34.01902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialcommercial infoBundled with Microsoft OfficeOpen 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++, ScalaJavaC++Java
Server operating systemsLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infothrough the embedded Spark runtimenoyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
Scala
JavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engineno
Triggersyesnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnonenonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingActive-active shard replicationnonenonenone
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 infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infobut no files for transaction loggingACID 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 replicationyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users can be defined per objectUser level access controlnono infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Datastax EnterpriseIBM Db2 Event StoreInfinityDBMicrosoft AccessQuestDB
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 StoreInfinityDBMicrosoft AccessQuestDB
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