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DBMS > DolphinDB vs. NebulaGraph vs. Postgres-XL vs. RisingWave

System Properties Comparison DolphinDB vs. NebulaGraph vs. Postgres-XL vs. RisingWave

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonNebulaGraph  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRisingWave  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.A distributed, linear scalable, high perfomant Graph DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelTime Series DBMS
Vector DBMS
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score1.92
Rank#122  Overall
#11  Graph DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websitewww.dolphindb.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
www.postgres-xl.orgwww.risingwave.com/­database
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.nebula-graph.iowww.postgres-xl.org/­documentationdocs.risingwave.com/­docs/­current/­intro
DeveloperDolphinDB, IncVesoft Inc.RisingWave Labs
Initial release201820192014 infosince 2012, originally named StormDB2022
Current releasev2.00.4, January 202210 R1, October 20181.2, September 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoMozilla public licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CRust
Server operating systemsLinux
Windows
LinuxLinux
macOS
Docker
Linux
macOS
Data schemeyesStrong typed schemayesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSON
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infodistributed, parallel query executionyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C++
Go
Java
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsUDFs in Python or Java
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesCausal Clustering using Raft protocol
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 integritynoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAdministrators, Users, GroupsRole-based access controlfine grained access rights according to SQL-standardUsers and Roles
More information provided by the system vendor
DolphinDBNebulaGraphPostgres-XLRisingWave
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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DolphinDBNebulaGraphPostgres-XLRisingWave
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