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DBMS > GBase vs. IBM Db2 Event Store vs. KeyDB vs. Netezza vs. Newts

System Properties Comparison GBase vs. IBM Db2 Event Store vs. KeyDB vs. Netezza vs. Newts

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKeyDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Distributed Event Store optimized for Internet of Things use casesAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on Cassandra
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Key-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitewww.gbase.cnwww.ibm.com/­products/­db2-event-storegithub.com/­Snapchat/­KeyDB
keydb.dev
www.ibm.com/­products/­netezzaopennms.github.io/­newts
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.keydb.devgithub.com/­OpenNMS/­newts/­wiki
DeveloperGeneral Data Technology Co., Ltd.IBMEQ Alpha Technology Ltd.IBMOpenNMS Group
Initial release20042017201920002014
Current releaseGBase 8a, GBase 8s, GBase 8c2.0
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoBSD-3commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC and C++C++Java
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinuxLinux infoincluded in applianceLinux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.yesnonono
Secondary indexesyesnoyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLStandard with numerous extensionsyes infothrough the embedded Spark runtimenoyesno
APIs and other access methodsADO.NET
C API
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
OLE DB
HTTP REST
Java API
Supported programming languagesC#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Server-side scripts infoStored proceduresuser defined functionsyesLuayesno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardsimple password-based access control and ACLUsers with fine-grained authorization conceptno

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More resources
GBaseIBM Db2 Event StoreKeyDBNetezza infoAlso called PureData System for Analytics by IBMNewts
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