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DBMS > GridGain vs. Hazelcast vs. Hyprcubd vs. RRDtool vs. UniData,UniVerse

System Properties Comparison GridGain vs. Hazelcast vs. Hyprcubd vs. RRDtool vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonRRDtool  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridServerless Time Series DBMSIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value store
Relational DBMS
Key-value storeTime Series DBMSTime Series DBMSMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Score3.47
Rank#93  Overall
#2  Multivalue DBMS
Websitewww.gridgain.comhazelcast.comhyprcubd.com (offline)oss.oetiker.ch/­rrdtoolwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docsoss.oetiker.ch/­rrdtool/­docdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGridGain Systems, Inc.HazelcastHyprcubd, Inc.Tobias OetikerRocket Software
Initial release2007200819991985
Current releaseGridGain 8.5.15.3.6, November 20231.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaGoC infoImplementations in Java (e.g. RRD4J) and C# availableC
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMhostedHP-UX
Linux
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringNumeric data onlyoptional
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.yesyes infothe object must implement a serialization strategynono infoExporting into and restoring from XML files possible
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query languagenoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https)in-process shared library
Pipes
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesnonoyes
Triggersyes (cache interceptors and events)yes infoEventsnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoReplicated MapnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistencynone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednonoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoby using the rrdcached daemonyes
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.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access controltoken accessnoAccess rights according to SQL-standard and operating system based

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GridGainHazelcastHyprcubdRRDtoolUniData,UniVerse
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