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DBMS > IRONdb vs. RethinkDB vs. Spark SQL vs. Transbase vs. VelocityDB

System Properties Comparison IRONdb vs. RethinkDB vs. Spark SQL vs. Transbase vs. VelocityDB

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonVelocityDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSDocument storeRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.74
Rank#105  Overall
#19  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.circonus.com/solutions/time-series-database/rethinkdb.comspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlvelocitydb.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlvelocitydb.com/­UserGuide
DeveloperCirconus LLC.The Linux Foundation infosince July 2017Apache Software FoundationTransaction Software GmbHVelocityDB Inc
Initial release20172009201419872011
Current releaseV0.10.20, January 20182.4.1, August 20203.5.0 ( 2.13), September 2023Transbase 8.3, 20227.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial infofree development licensecommercial
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 languageC and C++C++ScalaC and C++C#
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Any that supports .NET
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyes infostring, binary, float, bool, date, geometryyesyesyes
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.nonononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like DML and DDL statementsyesno
APIs and other access methodsHTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
.Net
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Server-side scripts infoStored proceduresyes, in Luanoyesno
TriggersnoClient-side triggers through changefeedsnoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding inforange basedyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyesyes
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.nonononoyes
User concepts infoAccess controlnoyes infousers and table-level permissionsnofine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
IRONdbRethinkDBSpark SQLTransbaseVelocityDB
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