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DBMS > IBM Db2 Event Store vs. Netezza vs. Snowflake vs. Titan

System Properties Comparison IBM Db2 Event Store vs. Netezza vs. Snowflake vs. Titan

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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 comparisonSnowflake  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionDistributed Event Store optimized for Internet of Things use casesData warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured dataTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelEvent Store
Time Series DBMS
Relational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­netezzawww.snowflake.comgithub.com/­thinkaurelius/­titan
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.snowflake.net/­manuals/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperIBMIBMSnowflake Computing Inc.Aurelius, owned by DataStax
Initial release2017200020142012
Current release2.0
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux infoincluded in appliancehostedLinux
OS X
Unix
Windows
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesyesno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyesuser defined functionsyes
Triggersnonono infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authenticationUser authentification and security via Rexster Graph Server

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