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DBMS > GridGain vs. Hyprcubd vs. Ingres vs. OpenTSDB

System Properties Comparison GridGain vs. Hyprcubd vs. Ingres vs. OpenTSDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonOpenTSDB  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 DBMSWell established RDBMSScalable Time Series DBMS based on HBase
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitewww.gridgain.comhyprcubd.com (offline)www.actian.com/­databases/­ingresopentsdb.net
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.actian.com/­ingresopentsdb.net/­docs/­build/­html/­index.html
DeveloperGridGain Systems, Inc.Hyprcubd, Inc.Actian Corporationcurrently maintained by Yahoo and other contributors
Initial release20071974 infooriginally developed at University Berkely in early 1970s2011
Current releaseGridGain 8.5.111.2, May 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGoCJava
Server operating systemsLinux
OS X
Solaris
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesnumeric data for metrics, strings for tags
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.yesnono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnoyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Telnet API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesno
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Ingres Replicatorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyes
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.yesnonono
User concepts infoAccess controlSecurity Hooks for custom implementationstoken accessfine grained access rights according to SQL-standardno

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More resources
GridGainHyprcubdIngresOpenTSDB
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