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DBMS > Datastax Enterprise vs. IBM Db2 Event Store vs. QuestDB vs. SAP HANA

System Properties Comparison Datastax Enterprise vs. IBM Db2 Event Store vs. QuestDB vs. SAP HANA

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonQuestDB  Xexclude from comparisonSAP HANA  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 high performance, low latency Time Series DBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelWide column storeEvent Store
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Relational DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.48
Rank#46  Overall
#4  Wide column stores
Score0.29
Rank#248  Overall
#2  Event Stores
#16  Time Series DBMS
Score0.17
Rank#266  Overall
#20  Time Series DBMS
Score54.27
Rank#18  Overall
#11  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.ibm.com/­products/­db2-event-storewww.questdb.iowww.sap.com/­products/­hana.html
Technical documentationdocs.datastax.comwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmlwww.questdb.io/­docs/­docstructurehelp.sap.com/­hana
DeveloperDataStaxIBMQuestDB LimitedSAP
Initial release2011201720142010
Current release6.7, December 20182.02.0 SPS04, April 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoAGPL 3.0commercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
Appliance or cloud-service
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infothrough the embedded Spark runtimeSQL-like query languageyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
Server-side scripts infoStored proceduresnoyesnoSQLScript, R
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardinghorizontal partitioning (by timestamps)yes
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingActive-active shard replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
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 objectfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Datastax EnterpriseIBM Db2 Event StoreQuestDBSAP HANA
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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Datastax EnterpriseIBM Db2 Event StoreQuestDBSAP HANA
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