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DBMS > Apache Doris vs. IBM Db2 Event Store vs. IRONdb vs. OrigoDB vs. Sequoiadb

System Properties Comparison Apache Doris vs. IBM Db2 Event Store vs. IRONdb vs. OrigoDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonIBM Db2 Event Store  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 protocolDistributed Event Store optimized for Internet of Things use casesA 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 DBMSEvent Store
Time Series 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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series 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.ibm.com/­products/­db2-event-storewww.circonus.com/solutions/time-series-database/origodb.comwww.sequoiadb.com
Technical documentationgithub.com/­apache/­doris/­wikiwww.ibm.com/­docs/­en/­db2-event-storedocs.circonus.com/irondb/category/getting-startedorigodb.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation, originally contributed from BaiduIBMCirconus LLC.Robert Friberg et alSequoiadb Ltd.
Initial release2017201720172009 infounder the name LiveDB2013
Current release1.2.2, February 20232.0V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercialOpen 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 languageJavaC and C++C and C++C#C++
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
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.nononono infocan be achieved using .NETno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyesyes infothrough the embedded Spark runtimeSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language
APIs and other access methodsJDBC
MySQL client
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API.NET Client API
HTTP API
LINQ
proprietary protocol using JSON
Supported programming languagesJavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.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 functionsyesyes, in LuayesJavaScript
Triggersnononoyes 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 nodesnoneActive-active shard replicationconfigurable replication factor, datacenter awareSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 datanonoACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes 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-standardfine grained access rights according to SQL-standardnoRole based authorizationsimple password-based access control

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More resources
Apache DorisIBM Db2 Event StoreIRONdbOrigoDBSequoiadb
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