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DBMS > HarperDB vs. Hypertable vs. IRONdb vs. Riak KV

System Properties Comparison HarperDB vs. Hypertable vs. IRONdb vs. Riak KV

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonRiak KV  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. 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.An open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDistributed, fault tolerant key-value store
Primary database modelDocument storeWide column storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.harperdb.iowww.circonus.com/solutions/time-series-database/
Technical documentationdocs.harperdb.io/­docsdocs.circonus.com/irondb/category/getting-startedwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperHarperDBHypertable Inc.Circonus LLC.OpenSource, formerly Basho Technologies
Initial release2017200920172009
Current release3.1, August 20210.9.8.11, March 2016V0.10.20, January 20183.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++C and C++Erlang
Server operating systemsLinux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
OS X
Data schemedynamic schemaschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesnoyes infotext, numeric, histogramsno
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 indexesyesrestricted infoonly exact value or prefix value scansnorestricted
SQL infoSupport of SQLSQL-like data manipulation statementsnoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
C++ API
Thrift
HTTP APIHTTP API
Native Erlang Interface
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
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
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
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1noyes, in LuaErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingAutomatic, metric affinity per nodeSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedselectable replication factor on file system levelconfigurable replication factor, datacenter awareselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonono
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 rolesnonoyes, using Riak Security

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More resources
HarperDBHypertableIRONdbRiak KV
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