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DBMS > GigaSpaces vs. Hawkular Metrics vs. Hazelcast vs. OushuDB vs. WakandaDB

System Properties Comparison GigaSpaces vs. Hawkular Metrics vs. Hazelcast vs. OushuDB vs. WakandaDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonOushuDB  Xexclude from comparisonWakandaDB  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.A widely adopted in-memory data gridA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSKey-value storeRelational DBMSObject oriented DBMS
Secondary database modelsGraph DBMS
Search engine
Document store infoJSON support with IMDG 3.12
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
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.gigaspaces.comwww.hawkular.orghazelcast.comwww.oushu.com/­product/­oushuDBwakanda.github.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docswww.oushu.com/­documentationwakanda.github.io/­doc
DeveloperGigaspaces TechnologiesCommunity supported by Red HatHazelcastOushuWakanda SAS
Initial release2000201420082012
Current release15.5, September 20205.3.6, November 20234.0.1, August 20202.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaJavaC++, JavaScript
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Windows
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 metadatanoyes infothe object must implement a serialization strategyno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoSQL-like query languageFull-featured ANSI SQL supportno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
JavaScript
Server-side scripts infoStored proceduresyesnoyes infoEvent Listeners, Executor Servicesyesyes
Triggersyes, event driven architectureyes infovia Hawkular Alertingyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingyesnone
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 Cassandrayes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoyesHadoop integrationno
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
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlRole-based access controlnoRole-based access controlKerberos, SSL and role based accessyes

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More resources
GigaSpacesHawkular MetricsHazelcastOushuDBWakandaDB
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