DBMS > ArcadeDB vs. KairosDB vs. Microsoft Azure Table Storage vs. Sadas Engine

System Properties Comparison ArcadeDB vs. KairosDB vs. Microsoft Azure Table Storage vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	ArcadeDB  Xexclude from comparison	KairosDB  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	Sadas Engine  Xexclude from comparison
Description	Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten	Distributed Time Series DBMS based on Cassandra or H2	A Wide Column Store for rapid development using massive semi-structured datasets	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Document store Graph DBMS Key-value store Time Series DBMS in next version	Time Series DBMS	Wide column store	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 0.67 Rank #233   Overall #20   Time Series DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	arcadedb.com	github.com/­kairosdb/­kairosdb	azure.microsoft.com/­en-us/­services/­storage/­tables	www.sadasengine.com
Technical documentation	docs.arcadedb.com	kairosdb.github.io		www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Arcade Data		Microsoft	SADAS s.r.l.
Initial release	2021	2013	2012	2006
Current release	September 2021	1.2.2, November 2018		8.0
License Commercial or Open Source	Open Source Apache Version 2.0	Open Source Apache 2.0	commercial	commercial free trial version available
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java		C++
Server operating systems	All OS with a Java VM	Linux OS X Windows	hosted	AIX Linux Windows
Data scheme	schema-free	schema-free	schema-free	yes
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	no	no	yes
SQL Support of SQL	SQL-like query language, no joins	no	no	yes
APIs and other access methods	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	Graphite protocol HTTP REST Telnet API	RESTful HTTP API	JDBC ODBC Proprietary protocol
Supported programming languages	Java	Java JavaScript Node.js PHP Python	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures		no	no	no
Triggers		no	no	no
Partitioning methods Methods for storing different data on different nodes		Sharding based on Cassandra	Sharding Implicit feature of the cloud service	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	selectable replication factor based on Cassandra	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes relationship in graphs	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	optimistic locking
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	no	yes managed by 'Learn by Usage'
User concepts Access control		simple password-based access control	Access rights based on private key authentication or shared access signatures	Access rights for users, groups and roles according to SQL-standard
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More resources
	ArcadeDB	KairosDB	Microsoft Azure Table Storage	Sadas Engine
Recent citations in the news		Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software provided by Google News	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to use Azure Table storage in .Net 14 January 2019, InfoWorld How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com Inside Azure File Storage 7 October 2015, azure.microsoft.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

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