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DBMS > GigaSpaces vs. Hawkular Metrics vs. KairosDB vs. KeyDB

System Properties Comparison GigaSpaces vs. Hawkular Metrics vs. KairosDB vs. KeyDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKairosDB  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed Time Series DBMS based on Cassandra or H2An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSTime Series DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Websitewww.gigaspaces.comwww.hawkular.orggithub.com/­kairosdb/­kairosdbgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidekairosdb.github.iodocs.keydb.dev
DeveloperGigaspaces TechnologiesCommunity supported by Red HatEQ Alpha Technology Ltd.
Initial release2000201420132019
Current release15.5, September 20201.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaJavaC++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.no infoXML can be used for describing objects metadatanonono
Secondary indexesyesnonoyes infoby using the Redis Search module
SQL infoSupport of SQLSQL-99 for query and DML statementsnonono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTGraphite protocol
HTTP REST
Telnet API
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languages.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
Java
JavaScript infoNode.js
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
Server-side scripts infoStored proceduresyesnonoLua
Triggersyes, event driven architectureyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on Cassandraselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlRole-based access controlnosimple password-based access controlsimple password-based access control and ACL

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More resources
GigaSpacesHawkular MetricsKairosDBKeyDB
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