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DBMS > GridGain vs. Ingres vs. IRONdb vs. Sadas Engine vs. SwayDB

System Properties Comparison GridGain vs. Ingres vs. IRONdb vs. Sadas Engine vs. SwayDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonSadas Engine  Xexclude from comparisonSwayDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteWell established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.gridgain.comwww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/www.sadasengine.comswaydb.simer.au
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-startedwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGridGain Systems, Inc.Actian CorporationCirconus LLC.SADAS s.r.l.Simer Plaha
Initial release20071974 infooriginally developed at University Berkely in early 1970s201720062018
Current releaseGridGain 8.5.111.2, May 2022V0.10.20, January 20188.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree trial version availableOpen Source infoGNU Affero GPL V3.0
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++, .NetCC and C++C++Scala
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxAIX
Linux
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesno
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 infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL-like query language (Circonus Analytics Query Language: CAQL)yesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesyes, in Luanono
Triggersyes (cache interceptors and events)yesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Ingres Replicatorconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.yesnonoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
GridGainIngresIRONdbSadas EngineSwayDB
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