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DBMS > CrateDB vs. IBM Db2 Event Store vs. Netezza vs. Postgres-XL

System Properties Comparison CrateDB vs. IBM Db2 Event Store vs. Netezza vs. Postgres-XL

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionDistributed Database based on LuceneDistributed Event Store optimized for Internet of Things use casesData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Event Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websitecratedb.comwww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­netezzawww.postgres-xl.org
Technical documentationcratedb.com/­docswww.ibm.com/­docs/­en/­db2-event-storewww.postgres-xl.org/­documentation
DeveloperCrateIBMIBM
Initial release2013201720002014 infosince 2012, originally named StormDB
Current release5.8.1, August 20242.010 R1, October 2018
License infoCommercial or Open SourceOpen Sourcecommercial infofree developer edition availablecommercialOpen Source infoMozilla public license
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 Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux infoLinux, macOS, Windows for the developer additionLinux infoincluded in applianceLinux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyes infothrough the embedded Spark runtimeyesyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
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++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions (Javascript)yesyesuser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACIDACID infoMVCC
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.noyesno
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
CrateDBIBM Db2 Event StoreNetezza infoAlso called PureData System for Analytics by IBMPostgres-XL
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