DBMS > Microsoft Azure Table Storage vs. Oracle Rdb vs. ReductStore vs. searchxml

System Properties Comparison Microsoft Azure Table Storage vs. Oracle Rdb vs. ReductStore vs. searchxml

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Editorial information provided by DB-Engines
Name	Microsoft Azure Table Storage  Xexclude from comparison	Oracle Rdb  Xexclude from comparison	ReductStore  Xexclude from comparison	searchxml  Xexclude from comparison
Description	A Wide Column Store for rapid development using massive semi-structured datasets		Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.	DBMS for structured and unstructured content wrapped with an application server
Primary database model	Wide column store	Relational DBMS	Time Series DBMS	Native XML DBMS Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 1.14 Rank #178   Overall #80   Relational DBMS	Score 0.05 Rank #384   Overall #44   Time Series DBMS	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines
Website	azure.microsoft.com/­en-us/­services/­storage/­tables	www.oracle.com/­database/­technologies/­related/­rdb.html	github.com/­reductstore www.reduct.store	www.searchxml.net/­category/­products
Technical documentation		www.oracle.com/­database/­technologies/­related/­rdb-doc.html	www.reduct.store/­docs	www.searchxml.net/­support/­handouts
Developer	Microsoft	Oracle, originally developed by Digital Equipment Corporation (DEC)	ReductStore LLC	informationpartners gmbh
Initial release	2012	1984	2023	2015
Current release		7.4.1.1, 2021	1.9, March 2024	1.0
License Commercial or Open Source	commercial	commercial	Open Source Business Source License 1.1	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language			C++, Rust	C++
Server operating systems	hosted	HP Open VMS	Docker Linux macOS Windows	Windows
Data scheme	schema-free	Flexible Schema (defined schema, partial schema, schema free)		schema-free
Typing predefined data types such as float or date	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		yes
Secondary indexes	no	yes		yes
SQL Support of SQL	no	yes		no
APIs and other access methods	RESTful HTTP API		HTTP API	RESTful HTTP API WebDAV XQuery XSLT
Supported programming languages	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby		C++ JavaScript (Node.js) Python Rust	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no			yes on the application server
Triggers	no			no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service			none
Replication methods Methods for redundantly storing data on multiple nodes	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.			yes sychronisation to multiple collections
MapReduce Offers an API for user-defined Map/Reduce methods	no	no		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no	yes		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	optimistic locking	yes, on a single node		multiple readers, single writer
Concurrency Support for concurrent manipulation of data	yes	yes		yes
Durability Support for making data persistent	yes	yes		yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no		no
User concepts Access control	Access rights based on private key authentication or shared access signatures			Domain, group and role-based access control at the document level and for application services
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More resources
	Microsoft Azure Table Storage	Oracle Rdb	ReductStore	searchxml
Recent citations in the news	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News	Oracle Adds New AI-Enabling Features To MySQL HeatWave 23 March 2023, Forbes Should we all consolidate databases for the storage benefits? Reg vultures deploy DevOps, zoos, haircuts 18 September 2020, The Register 2013 Data Science Salary Survey – O'Reilly 4 May 2013, O'Reilly Media provided by Google News

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