DBMS > Faircom DB vs. Microsoft Azure Data Explorer vs. Sadas Engine vs. Transbase

System Properties Comparison Faircom DB vs. Microsoft Azure Data Explorer vs. Sadas Engine vs. Transbase

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Editorial information provided by DB-Engines
Name	Faircom DB formerly c-treeACE  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Transbase  Xexclude from comparison
Description	Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.	Fully managed big data interactive analytics platform	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	A resource-optimized, high-performance, universally applicable RDBMS
Primary database model	Key-value store Relational DBMS	Relational DBMS column oriented	Relational DBMS	Relational DBMS
Secondary database models		Document store If a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Search engine support for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
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 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS	Score 0.17 Rank #334   Overall #148   Relational DBMS
Website	www.faircom.com/­products/­faircom-db	azure.microsoft.com/­services/­data-explorer	www.sadasengine.com	www.transaction.de/­en/­products/­transbase.html
Technical documentation	docs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html	docs.microsoft.com/­en-us/­azure/­data-explorer	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation	www.transaction.de/­en/­products/­transbase/­features.html
Developer	FairCom Corporation	Microsoft	SADAS s.r.l.	Transaction Software GmbH
Initial release	1979	2019	2006	1987
Current release	V12, November 2020	cloud service with continuous releases	8.0	Transbase 8.3, 2022
License Commercial or Open Source	commercial Restricted, free version available	commercial	commercial free trial version available	commercial free development license
Cloud-based only Only available as a cloud service	no	yes	no	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 and C++
Server operating systems	AIX FreeBSD HP-UX Linux NetBSD OS X QNX SCO Solaris VxWorks Windows easily portable to other OSs	hosted	AIX Linux Windows	FreeBSD Linux macOS Solaris Windows
Data scheme	schema free, schema optional, schema required, partial schema,	Fixed schema with schema-less datatypes (dynamic)	yes	yes
Typing predefined data types such as float or date	yes, ANSI SQL Types, JSON, typed binary structures	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	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	yes	no	no
Secondary indexes	yes	all fields are automatically indexed	yes	yes
SQL Support of SQL	yes, ANSI SQL with proprietary extensions	Kusto Query Language (KQL), SQL subset	yes	yes
APIs and other access methods	ADO.NET Direct SQL JDBC JPA ODBC RESTful HTTP/JSON API RESTful MQTT/JSON API RPC	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	JDBC ODBC Proprietary protocol	ADO.NET JDBC ODBC Proprietary native API
Supported programming languages	.Net C C# C++ Java JavaScript (Node.js and browser) PHP Python Visual Basic	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net C C# C++ Groovy Java PHP Python	C C# C++ Java JavaScript Kotlin Objective-C PHP Python
Server-side scripts Stored procedures	yes .Net, JavaScript, C/C++	Yes, possible languages: KQL, Python, R	no	yes
Triggers	yes	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	no	yes
Partitioning methods Methods for storing different data on different nodes	File partitioning, horizontal partitioning, sharding Customizable business rules for table partitioning	Sharding Implicit feature of the cloud service	horizontal partitioning
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).	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	none	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency Tunable consistency per server, database, table, and transaction	Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	tunable from ACID to Eventually Consistent	no		yes
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	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 managed by 'Learn by Usage'	no
User concepts Access control	Fine grained access rights according to SQL-standard with additional protections for files	Azure Active Directory Authentication	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Faircom DB formerly c-treeACE	Microsoft Azure Data Explorer	Sadas Engine	Transbase
Recent citations in the news	FairCom Unveils New Look, FairCom DB v13: Introducing 'DB Made Simple' 4 June 2024, Business Wire FairCom kicks off new era of database technology USA - English 10 November 2020, PR Newswire provided by Google News	We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, Microsoft Update records in a Kusto Database (public preview) 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink 8 January 2024, Microsoft Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, Microsoft New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates 24 January 2024, Microsoft provided by Google News

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