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

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

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenDistributed Event Store optimized for Internet of Things use casesData warehouse and analytics appliance part of IBM PureSystemsDistributed, high-performance timeseries database
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Event Store
Time Series DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitearcadedb.comwww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­netezzaquasar.ai
Technical documentationdocs.arcadedb.comwww.ibm.com/­docs/­en/­db2-event-storedoc.quasar.ai/­master
DeveloperArcade DataIBMIBMquasardb
Initial release2021201720002009
Current releaseSeptember 20212.03.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercialcommercial 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 languageJavaC and C++C++
Server operating systemsAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux infoincluded in applianceBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-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 indexesyesnoyesyes infowith tags
SQL infoSupport of SQLSQL-like query language, no joinsyes infothrough the embedded Spark runtimeyesSQL-like query language
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP API
Supported programming languagesJavaC
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#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive-active shard replicationSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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 infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptCryptographically strong user authentication and audit trail

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More resources
ArcadeDBIBM Db2 Event StoreNetezza infoAlso called PureData System for Analytics by IBMQuasardb
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