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DBMS > HarperDB vs. Hive vs. IBM Db2 warehouse vs. NCache

System Properties Comparison HarperDB vs. Hive vs. IBM Db2 warehouse vs. NCache

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHive  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.data warehouse software for querying and managing large distributed datasets, built on HadoopCloud-based data warehousing serviceOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Websitewww.harperdb.iohive.apache.orgwww.ibm.com/­products/­db2/­warehousewww.alachisoft.com/­ncache
Technical documentationdocs.harperdb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.alachisoft.com/­resources/­docs
DeveloperHarperDBApache Software Foundation infoinitially developed by FacebookIBMAlachisoft
Initial release2017201220142005
Current release3.1, August 20213.1.3, April 20225.3.3, April 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2commercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaC#, .NET, .NET Core, Java
Server operating systemsLinux
OS X
All OS with a Java VMhostedLinux
Windows
Data schemedynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyespartial 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.nono infoImport/export of XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsSQL-like DML and DDL statementsyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
OLE DB
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
PHP
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reducePL/SQL, SQL PLno infosupport for stored procedures with SQL-Server CLR
Triggersnonoyesyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedselectable replication factoryesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual 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 dataAtomic execution of specific operationsnoACIDoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
HarperDBHiveIBM Db2 warehouse infoformerly named IBM dashDBNCache
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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HarperDBHiveIBM Db2 warehouse infoformerly named IBM dashDBNCache
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