DBMS > ArcadeDB vs. DolphinDB vs. Hawkular Metrics vs. Percona Server for MongoDB

System Properties Comparison ArcadeDB vs. DolphinDB vs. Hawkular Metrics vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
Name	ArcadeDB  Xexclude from comparison	DolphinDB  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Percona Server for MongoDB  Xexclude from comparison
Description	Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten	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.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database model	Document store Graph DBMS Key-value store Time Series DBMS in next version	Time Series DBMS	Time Series DBMS	Document store
Secondary database models		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.10 Rank #358   Overall #48   Document stores #38   Graph DBMS #52   Key-value stores #35   Time Series DBMS	Score 4.03 Rank #78   Overall #6   Time Series DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.60 Rank #246   Overall #39   Document stores
Website	arcadedb.com	www.dolphindb.com	www.hawkular.org	www.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentation	docs.arcadedb.com	docs.dolphindb.cn/­en/­help200/­index.html	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.percona.com/­percona-distribution-for-mongodb
Developer	Arcade Data	DolphinDB, Inc	Community supported by Red Hat	Percona
Initial release	2021	2018	2014	2015
Current release	September 2021	v2.00.4, January 2022		3.4.10-2.10, November 2017
License Commercial or Open Source	Open Source Apache Version 2.0	commercial free community version available	Open Source Apache 2.0	Open Source GPL Version 2
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++	Java	C++
Server operating systems	All OS with a Java VM	Linux Windows	Linux OS X Windows	Linux
Data scheme	schema-free	yes	schema-free	schema-free
Typing predefined data types such as float or date	yes	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no	no
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	SQL-like query language, no joins	SQL-like query language	no	no
APIs and other access methods	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	JDBC JSON over HTTP Kafka MQTT (Message Queue Telemetry Transport) ODBC OPC DA OPC UA RabbitMQ WebSocket	HTTP REST	proprietary protocol using JSON
Supported programming languages	Java	C# C++ Go Java JavaScript MatLab Python R Rust	Go Java Python Ruby	Actionscript C C# C++ Clojure ColdFusion D Dart Delphi Erlang Go Groovy Haskell Java JavaScript Lisp Lua MatLab Perl PHP PowerShell Prolog Python R Ruby Scala Smalltalk
Server-side scripts Stored procedures		yes	no	JavaScript
Triggers		no	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes		horizontal partitioning	Sharding based on Cassandra	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	yes	selectable replication factor based on Cassandra	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	yes relationship in graphs	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	yes	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	no	yes via In-Memory Engine
User concepts Access control		Administrators, Users, Groups	no	Access rights for users and roles
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More resources
	ArcadeDB	DolphinDB	Hawkular Metrics	Percona Server for MongoDB
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