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DBMS > HBase vs. NCache vs. ObjectBox vs. Teradata

System Properties Comparison HBase vs. NCache vs. ObjectBox vs. Teradata

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonNCache  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableOpen-Source and Enterprise in-memory Key-Value StoreExtremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelWide column storeKey-value storeObject oriented DBMSRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Time Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.94
Rank#195  Overall
#29  Key-value stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitehbase.apache.orgwww.alachisoft.com/­ncacheobjectbox.iowww.teradata.com
Technical documentationhbase.apache.org/­book.htmlwww.alachisoft.com/­resources/­docsdocs.objectbox.iodocs.teradata.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetAlachisoftObjectBox LimitedTeradata
Initial release2008200520171984
Current release2.3.4, January 20215.3.3, April 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoEnterprise Edition availableOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, JavaC and C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
Windows
Android
iOS
Linux
macOS
Windows
hosted
Linux
Data schemeschema-free, schema definition possibleschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROpartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyes
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.nononoyes
Secondary indexesnoyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.noyes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP API
Thrift
IDistributedCache
JCache
LINQ
Proprietary native API
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoCoprocessors in Javano infosupport for stored procedures with SQL-Server CLRnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes infoNotificationsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, with selectable consistency levelonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)optimistic locking and pessimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)yesfine grained access rights according to SQL-standard
More information provided by the system vendor
HBaseNCacheObjectBoxTeradata
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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More resources
HBaseNCacheObjectBoxTeradata
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