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DBMS > DolphinDB vs. Greenplum vs. MongoDB vs. Qdrant vs. SQL.JS

System Properties Comparison DolphinDB vs. Greenplum vs. MongoDB vs. Qdrant vs. SQL.JS

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGreenplum  Xexclude from comparisonMongoDB  Xexclude from comparisonQdrant  Xexclude from comparisonSQL.JS  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.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high-performance vector database with neural network or semantic-based matchingPort of SQLite to JavaScript
Primary database modelTime Series DBMSRelational DBMSDocument storeVector DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitewww.dolphindb.comgreenplum.orgwww.mongodb.comgithub.com/­qdrant/­qdrant
qdrant.tech
sql.js.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.greenplum.orgwww.mongodb.com/­docs/­manualqdrant.tech/­documentationsql.js.org/­documentation/­index.html
DeveloperDolphinDB, IncPivotal Software Inc.MongoDB, IncQdrantAlon Zakai infoenhancements implemented by others
Initial release20182005200920212012
Current releasev2.00.4, January 20227.0.0, September 20236.0.7, June 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++RustJavaScript
Server operating systemsLinux
Windows
LinuxLinux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialNumbers, Strings, Geo, Booleanyes
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.noyes infosince Version 4.2nono
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query languageyesRead-only SQL queries via the MongoDB Atlas SQL Interfacenoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
Java
Perl
Python
R
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScript
Server-side scripts infoStored proceduresyesyesJavaScriptno
Triggersnoyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Collection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual Consistency, tunable consistencynone
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2yesyes
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardAccess rights for users and rolesKey-based authenticationno
More information provided by the system vendor
DolphinDBGreenplumMongoDBQdrantSQL.JS
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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