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DBMS > DolphinDB vs. IRONdb vs. Spark SQL vs. SQLite vs. Transbase

System Properties Comparison DolphinDB vs. IRONdb vs. Spark SQL vs. SQLite vs. Transbase

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonIRONdb  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonTransbase  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.dolphindb.comwww.circonus.com/solutions/time-series-database/spark.apache.org/­sqlwww.sqlite.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.circonus.com/irondb/category/getting-startedspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperDolphinDB, IncCirconus LLC.Apache Software FoundationDwayne Richard HippTransaction Software GmbH
Initial release20182017201420001987
Current releasev2.00.4, January 2022V0.10.20, January 20183.5.0 ( 2.13), September 20233.45.3  (15 April 2024), April 2024Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoApache 2.0Open Source infoPublic Domaincommercial infofree development license
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++C and C++ScalaCC and C++
Server operating systemsLinux
Windows
LinuxLinux
OS X
Windows
server-lessFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes infonot rigid because of 'dynamic typing' concept.yes
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 indexesyesnonoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP APIJDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesyes, in Luanonoyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic, metric affinity per nodeyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awarenonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.yesnonoyesno
User concepts infoAccess controlAdministrators, Users, Groupsnononofine grained access rights according to SQL-standard

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More resources
DolphinDBIRONdbSpark SQLSQLiteTransbase
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