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DBMS > HBase vs. IBM Db2 Event Store vs. Kinetica vs. NCache

System Properties Comparison HBase vs. IBM Db2 Event Store vs. Kinetica vs. NCache

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDistributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelWide column storeEvent Store
Time Series DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Websitehbase.apache.orgwww.ibm.com/­products/­db2-event-storewww.kinetica.comwww.alachisoft.com/­ncache
Technical documentationhbase.apache.org/­book.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comwww.alachisoft.com/­resources/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetIBMKineticaAlachisoft
Initial release2008201720122005
Current release2.3.4, January 20212.07.1, August 20215.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree developer edition availablecommercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C, C++C#, .NET, .NET Core, Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux infoLinux, macOS, Windows for the developer additionLinuxLinux
Windows
Data schemeschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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.nononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayesuser defined functionsno infosupport for stored procedures with SQL-Server CLR
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active-active shard replicationSource-replica replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonooptimistic locking and pessimistic locking
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.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
HBaseIBM Db2 Event StoreKineticaNCache
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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HBaseIBM Db2 Event StoreKineticaNCache
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