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DBMS > Hive vs. KeyDB vs. Newts vs. Riak KV

System Properties Comparison Hive vs. KeyDB vs. Newts vs. Riak KV

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonKeyDB  Xexclude from comparisonNewts  Xexclude from comparisonRiak KV  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsTime Series DBMS based on CassandraDistributed, fault tolerant key-value store
Primary database modelRelational DBMSKey-value 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
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitehive.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
opennms.github.io/­newts
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.keydb.devgithub.com/­OpenNMS/­newts/­wikiwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoinitially developed by FacebookEQ Alpha Technology Ltd.OpenNMS GroupOpenSource, formerly Basho Technologies
Initial release2012201920142009
Current release3.1.3, April 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD-3Open Source infoApache 2.0Open 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 languageJavaC++JavaErlang
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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 indexesyesyes infoby using the Redis Search modulenorestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
Thrift
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP REST
Java API
HTTP API
Native Erlang Interface
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
JavaC 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 proceduresyes infouser defined functions and integration of map-reduceLuanoErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandraselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
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, groups and rolessimple password-based access control and ACLnoyes, using Riak Security

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More resources
HiveKeyDBNewtsRiak KV
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