DBMS > Faircom DB vs. Machbase Neo vs. Microsoft Azure Table Storage vs. YTsaurus

System Properties Comparison Faircom DB vs. Machbase Neo vs. Microsoft Azure Table Storage vs. YTsaurus

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Editorial information provided by DB-Engines
Name	Faircom DB formerly c-treeACE  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	YTsaurus  Xexclude from comparison
Description	Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.	TimeSeries DBMS for AIoT and BigData	A Wide Column Store for rapid development using massive semi-structured datasets	YTsaurus is an open source platform for distributed storage and processing.
Primary database model	Key-value store Relational DBMS	Time Series DBMS	Wide column store	Document store Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.29 Rank #304   Overall #43   Key-value stores #136   Relational DBMS	Score 0.17 Rank #337   Overall #30   Time Series DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.21 Rank #324   Overall #45   Document stores #48   Key-value stores
Website	www.faircom.com/­products/­faircom-db	machbase.com	azure.microsoft.com/­en-us/­services/­storage/­tables	ytsaurus.tech
Technical documentation	docs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html	machbase.com/­dbms		ytsaurus.tech/­docs/­en
Developer	FairCom Corporation	Machbase	Microsoft	Yandex
Initial release	1979	2013	2012	2023
Current release	V12, November 2020	V8.0, August 2023
License Commercial or Open Source	commercial Restricted, free version available	commercial free test version available	commercial	Open Source Apache License, Version 2.0
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	ANSI C, C++	C		C++
Server operating systems	AIX FreeBSD HP-UX Linux NetBSD OS X QNX SCO Solaris VxWorks Windows easily portable to other OSs	Linux macOS Windows	hosted	Ubuntu
Data scheme	schema free, schema optional, schema required, partial schema,	yes	schema-free
Typing predefined data types such as float or date	yes, ANSI SQL Types, JSON, typed binary structures	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
SQL Support of SQL	yes, ANSI SQL with proprietary extensions	SQL-like query language	no	YQL, an SQL-based language, is supported
APIs and other access methods	ADO.NET Direct SQL JDBC JPA ODBC RESTful HTTP/JSON API RESTful MQTT/JSON API RPC	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC	RESTful HTTP API
Supported programming languages	.Net C C# C++ Java JavaScript (Node.js and browser) PHP Python Visual Basic	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	C++ Go Java JavaScript Python
Server-side scripts Stored procedures	yes .Net, JavaScript, C/C++	no	no
Triggers	yes	no	no
Partitioning methods Methods for storing different data on different nodes	File partitioning, horizontal partitioning, sharding Customizable business rules for table partitioning	Sharding	Sharding Implicit feature of the cloud service	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).	selectable replication factor	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency Tunable consistency per server, database, table, and transaction		Immediate Consistency
Foreign keys Referential integrity	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	tunable from ACID to Eventually Consistent	no	optimistic locking	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	Yes, tunable from durable to delayed durability to in-memory	no	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes volatile and lookup table	no
User concepts Access control	Fine grained access rights according to SQL-standard with additional protections for files	simple password-based access control	Access rights based on private key authentication or shared access signatures	Access Control Lists
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More resources
	Faircom DB formerly c-treeACE	Machbase Neo Former name was Infiniflux	Microsoft Azure Table Storage	YTsaurus
Recent citations in the news	FairCom Unveils New Look, FairCom DB v13: Introducing 'DB Made Simple' 4 June 2024, businesswire.com FairCom kicks off new era of database technology USA - English 10 November 2020, PR Newswire 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, Microsoft 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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