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DBMS > IBM Db2 Event Store vs. Netezza vs. NuoDB vs. Quasardb

System Properties Comparison IBM Db2 Event Store vs. Netezza vs. NuoDB vs. Quasardb

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNuoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesData warehouse and analytics appliance part of IBM PureSystemsNuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, high-performance timeseries database
Primary database modelEvent Store
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­netezzawww.3ds.com/­nuodb-distributed-sql-databasequasar.ai
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedoc.nuodb.comdoc.quasar.ai/­master
DeveloperIBMIBMDassault Systèmes infooriginally NuoDB, Inc.quasardb
Initial release2017200020132009
Current release2.03.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux infoincluded in appliancehosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 indexesnoyesyesyes infowith tags
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesyesSQL-like query language
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyesJava, SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationyes infoManaged transparently by NuoDBSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes infoMVCCyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary tableyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptStandard SQL roles/ privileges, Administrative UsersCryptographically strong user authentication and audit trail

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More resources
IBM Db2 Event StoreNetezza infoAlso called PureData System for Analytics by IBMNuoDBQuasardb
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