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DBMS > HarperDB vs. Hive vs. Kinetica

System Properties Comparison HarperDB vs. Hive vs. Kinetica

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHive  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionA distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.data warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUs
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#238  Overall
#37  Document stores
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score0.66
Rank#212  Overall
#103  Relational DBMS
Websiteharperdb.iohive.apache.orgwww.kinetica.com
Technical documentationharperdb.io/­developers/­documentation/­overviewcwiki.apache.org/­confluence/­display/­Hive/­Homewww.kinetica.com/­docs
DeveloperHarperDBApache Software Foundation infoinitially developed by FacebookKinetica
Initial release201720122012
Current release3.1, August 20213.1.2, August 20197.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsJavaC, C++
Server operating systemsLinux
OS X
All OS with a Java VMLinux
Data schemedynamic schemayesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP 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
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reduceuser defined functions
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesAccess rights for users and roles on table level
More information provided by the system vendor
HarperDBHiveKinetica
Specific characteristicsHarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
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Native and fully vectorized database across both GPUs and CPUs, with memory first...
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Competitive advantagesBy combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
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Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
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Typical application scenariosUse cases where HarperDB is a better fit than other solutions include: Rapid app...
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Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
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Key customersA few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
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Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
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Market metricsOver 26K total HarperDB users : 12,700+ npm downloads 10,000+ on Docker Hub 3,400+...
» more
The largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsHarperDB follows a freemium/premium model . A data base is only as powerful as it...
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Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
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More resources
HarperDBHiveKinetica
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