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DBMS > IBM Db2 Event Store vs. Netezza vs. NSDb vs. Sqrrl

System Properties Comparison IBM Db2 Event Store vs. Netezza vs. NSDb vs. Sqrrl

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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 comparisonNSDb  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionDistributed Event Store optimized for Internet of Things use casesData warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­netezzansdb.iosqrrl.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storensdb.io/­Architecture
DeveloperIBMIBMAmazon infooriginally Sqrrl Data, Inc.
Initial release2017200020172012
Current release2.0
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoApache Version 2.0commercial
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++Java, ScalaJava
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux infoincluded in applianceLinux
macOS
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.nono
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesSQL-like query languageno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
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
Java
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic updates per row, document, or graph entity
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 storageyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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