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DBMS > Apache Doris vs. GridGain vs. IRONdb vs. OrigoDB vs. Sequoiadb

System Properties Comparison Apache Doris vs. GridGain vs. IRONdb vs. OrigoDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGridGain  Xexclude from comparisonIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolGridGain is an in-memory computing platform, built on Apache IgniteA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA fully ACID in-memory object graph databaseNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSDocument store
Object oriented DBMS
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.gridgain.comwww.circonus.com/solutions/time-series-database/origodb.comwww.sequoiadb.com
Technical documentationgithub.com/­apache/­doris/­wikiwww.gridgain.com/­docs/­index.htmldocs.circonus.com/irondb/category/getting-startedorigodb.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation, originally contributed from BaiduGridGain Systems, Inc.Circonus LLC.Robert Friberg et alSequoiadb Ltd.
Initial release2017200720172009 infounder the name LiveDB2013
Current release1.2.2, February 2023GridGain 8.5.1V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen SourceOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC and C++C#C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxLinux
Windows
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsUser defined using .NET types and collectionsyes infooid, date, timestamp, binary, regex
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.noyesnono infocan be achieved using .NETno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language
APIs and other access methodsJDBC
MySQL client
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API.NET Client API
HTTP API
LINQ
proprietary protocol using JSON
Supported programming languagesJavaC#
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.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yes, in LuayesJavaScript
Triggersnoyes (cache interceptors and events)noyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)configurable replication factor, datacenter awareSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsnoRole based authorizationsimple password-based access control

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More resources
Apache DorisGridGainIRONdbOrigoDBSequoiadb
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