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DBMS > GridGain vs. Hyprcubd

System Properties Comparison GridGain vs. Hyprcubd

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHyprcubd  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 IgniteServerless Time Series DBMS
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.37
Rank#154  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#70  Relational DBMS
Websitewww.gridgain.comhyprcubd.com (offline)
Technical documentationwww.gridgain.com/­docs/­index.html
DeveloperGridGain Systems, Inc.Hyprcubd, Inc.
Initial release2007
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLGo
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
hosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, string
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC (https)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesno
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
token access

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More resources
GridGainHyprcubd
Recent citations in the news

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2025
10 December 2024, PR Newswire

GridGain Sponsoring Strategic AI and Kafka Conferences This Month
7 December 2024, The Eastern Progress Online

GridGain in-memory data and generative AI
10 May 2024, Blocks and Files

The GridGain In-Memory Data Grid
10 July 2024, insideainews.com

GridGain, Apache Ignite founder talks in-memory databases
11 August 2022, TechTarget

provided by Google News

Linking tech to humanity: Hyprcubd integrates collaboration among IoT community
23 December 2020, Startland News

provided by Google News



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