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

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

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Name	ArcadeDB  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	openGemini  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	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability	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
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 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.09 Rank #361   Overall #37   Time Series DBMS	Score 0.60 Rank #246   Overall #39   Document stores
Website	arcadedb.com	www.hawkular.org	www.opengemini.org github.com/­openGemini	www.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentation	docs.arcadedb.com	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.opengemini.org/­guide	docs.percona.com/­percona-distribution-for-mongodb
Developer	Arcade Data	Community supported by Red Hat	Huawei and openGemini community	Percona
Initial release	2021	2014	2022	2015
Current release	September 2021		1.1, July 2023	3.4.10-2.10, November 2017
License Commercial or Open Source	Open Source Apache Version 2.0	Open Source Apache 2.0	Open Source Apache Version 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	Java	Go	C++
Server operating systems	All OS with a Java VM	Linux OS X Windows	Linux Windows	Linux
Data scheme	schema-free	schema-free	schema-free	schema-free
Typing predefined data types such as float or date	yes	yes	Integer, Float, Boolean, String	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	no	yes	yes
SQL Support of SQL	SQL-like query language, no joins	no	SQL-like query language	no
APIs and other access methods	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	HTTP REST	HTTP REST	proprietary protocol using JSON
Supported programming languages	Java	Go Java Python Ruby	C C++ Go Java JavaScript (Node.js) Python Rust	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		no	no	JavaScript
Triggers		yes via Hawkular Alerting	no	no
Partitioning methods Methods for storing different data on different nodes		Sharding based on Cassandra	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	selectable replication factor based on Cassandra	yes	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	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	no	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.		no	yes	yes via In-Memory Engine
User concepts Access control		no	Administrators and common users accounts	Access rights for users and roles
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More resources
	ArcadeDB	Hawkular Metrics	openGemini	Percona Server for MongoDB
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