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DBMS > CockroachDB vs. DolphinDB vs. Lovefield vs. mSQL vs. YDB

System Properties Comparison CockroachDB vs. DolphinDB vs. Lovefield vs. mSQL vs. YDB

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonLovefield  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.DolphinDB 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.Embeddable relational database for web apps written in pure JavaScriptmSQL (Mini SQL) is a simple and lightweight RDBMSA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.cockroachlabs.comwww.dolphindb.comgoogle.github.io/­lovefieldhughestech.com.au/­products/­msqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.cockroachlabs.com/­docsdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdydb.tech/­en/­docs
DeveloperCockroach LabsDolphinDB, IncGoogleHughes TechnologiesYandex
Initial release20152018201419942019
Current release24.1.0, May 2024v2.00.4, January 20222.1.12, February 20174.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infofree community version availableOpen Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoApache 2.0; 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 languageGoC++JavaScriptC
Server operating systemsLinux
macOS
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemedynamic schemayesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLSQL-like query languageSQL-like query language infovia JavaScript builder patternA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (YQL)
APIs and other access methodsJDBCJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaScriptC
C++
Delphi
Java
Perl
PHP
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesnonono
TriggersnonoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal partitioningnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesnonenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBnono
User concepts infoAccess controlRole-based access controlAdministrators, Users, GroupsnonoAccess rights defined for Yandex Cloud users

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More resources
CockroachDBDolphinDBLovefieldmSQL infoMini SQLYDB
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