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DBMS > IBM Db2 warehouse vs. IRONdb vs. SWC-DB vs. Tarantool

System Properties Comparison IBM Db2 warehouse vs. IRONdb vs. SWC-DB vs. Tarantool

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Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonIRONdb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTarantool  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud-based data warehousing serviceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performance, scalable Wide Column DBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSTime Series DBMSWide column storeDocument store
Key-value store
Relational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitewww.ibm.com/­products/­db2/­warehousewww.circonus.com/solutions/time-series-database/github.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tarantool.io
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.tarantool.io/­en/­doc
DeveloperIBMCirconus LLC.Alex KashirinVK
Initial release2014201720202008
Current releaseV0.10.20, January 20180.5, April 20212.10.0, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C and C++
Server operating systemshostedLinuxLinuxBSD
Linux
macOS
Data schemeyesschema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsstring, double, decimal, uuid, integer, blob, boolean, datetime
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.no infoImport/export of XML data possiblenonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageFull-featured ANSI SQL support
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
HTTP APIProprietary protocol
Thrift
Open binary protocol
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresPL/SQL, SQL PLyes, in LuanoLua, C and SQL stored procedures
Triggersyesnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBIRONdbSWC-DB infoSuper Wide Column DatabaseTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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