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DBMS > etcd vs. Hazelcast vs. Kdb vs. Riak KV

System Properties Comparison etcd vs. Hazelcast vs. Kdb vs. Riak KV

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonKdb  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA distributed reliable key-value storeA widely adopted in-memory data gridHigh performance Time Series DBMSDistributed, fault tolerant key-value store
Primary database modelKey-value storeKey-value storeTime Series DBMS
Vector DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
hazelcast.comkx.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docscode.kx.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperHazelcastKx Systems, a division of First Derivatives plcOpenSource, formerly Basho Technologies
Initial release20082000 infokdb was released 2000, kdb+ in 20032009
Current release3.4, August 20195.3.6, November 20233.6, May 20183.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial infofree 32-bit versionOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaqErlang
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyes infothe object must implement a serialization strategyyesno
Secondary indexesnoyesyes infotable attribute 'grouped'restricted
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (q)no
APIs and other access methodsgRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
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 proceduresnoyes infoEvent Listeners, Executor Servicesuser defined functionsErlang
Triggersyes, watching key changesyes infoEventsyes infowith viewsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated MapSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infosimilar paradigm used for internal processingyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoRole-based access controlrights management via user accountsyes, using Riak Security
More information provided by the system vendor
etcdHazelcastKdbRiak KV
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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etcdHazelcastKdbRiak KV
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