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DBMS > DolphinDB vs. Oracle Rdb vs. Spark SQL vs. Speedb vs. WakandaDB

System Properties Comparison DolphinDB vs. Oracle Rdb vs. Spark SQL vs. Speedb vs. WakandaDB

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpeedb  Xexclude from comparisonWakandaDB  Xexclude from comparison
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.Spark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value storeObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.dolphindb.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlspark.apache.org/­sqlwww.speedb.iowakanda.github.io
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwakanda.github.io/­doc
DeveloperDolphinDB, IncOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software FoundationSpeedbWakanda SAS
Initial release20181984201420202012
Current releasev2.00.4, January 20227.4.1.1, 20213.5.0 ( 2.13), September 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC++C++, JavaScript
Server operating systemsLinux
Windows
HP Open VMSLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesnono
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyesnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark Corehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodenoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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, Groupsnonoyes
More information provided by the system vendor
DolphinDBOracle RdbSpark SQLSpeedbWakandaDB
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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DolphinDBOracle RdbSpark SQLSpeedbWakandaDB
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