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DBMS > HarperDB vs. Hive vs. Riak TS vs. Trafodion

System Properties Comparison HarperDB vs. Hive vs. Riak TS vs. Trafodion

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHive  Xexclude from comparisonRiak TS  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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 HadoopRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMS
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
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitewww.harperdb.iohive.apache.orgtrafodion.apache.org
Technical documentationdocs.harperdb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.tiot.jp/­riak-docs/­riak/­ts/­latesttrafodion.apache.org/­documentation.html
DeveloperHarperDBApache Software Foundation infoinitially developed by FacebookOpen Source, formerly Basho TechnologiesApache Software Foundation, originally developed by HP
Initial release2017201220152014
Current release3.1, August 20213.1.3, April 20223.0.0, September 20222.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaErlangC++, Java
Server operating systemsLinux
OS X
All OS with a Java VMLinux
OS X
Linux
Data schemedynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesnoyes
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.nonono
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLSQL-like data manipulation statementsSQL-like DML and DDL statementsyes, limitedyes
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
HTTP API
Native Erlang Interface
ADO.NET
JDBC
ODBC
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 infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reduceErlangJava Stored Procedures
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedselectable replication factorselectable replication factoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID
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.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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