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DBMS > DolphinDB vs. Drizzle vs. Kdb vs. TypeDB

System Properties Comparison DolphinDB vs. Drizzle vs. Kdb vs. TypeDB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonDrizzle  Xexclude from comparisonKdb  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance Time Series DBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSRelational DBMSTime Series DBMS
Vector DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.81
Rank#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Websitewww.dolphindb.comkx.comtypedb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcode.kx.comtypedb.com/­docs
DeveloperDolphinDB, IncDrizzle project, originally started by Brian AkerKx Systems, a division of First Derivatives plcVaticle
Initial release201820082000 infokdb was released 2000, kdb+ in 20032016
Current releasev2.00.4, January 20227.2.4, September 20123.6, May 20182.26.3, January 2024
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGNU GPLcommercial infofree 32-bit versionOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++qJava
Server operating systemsLinux
Windows
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsSQL-like query language (q)no
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Java
PHP
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnouser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.yes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infosimilar paradigm used for internal processingyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAdministrators, Users, GroupsPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accountsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
DolphinDBDrizzleKdbTypeDB infoformerly named Grakn
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Life sciences : TypeDB makes working with biological data much easier and accelerates...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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DolphinDBDrizzleKdbTypeDB infoformerly named Grakn
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