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DBMS > Faircom DB vs. IBM Cloudant vs. Machbase Neo vs. Microsoft Azure Synapse Analytics

System Properties Comparison Faircom DB vs. IBM Cloudant vs. Machbase Neo vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Database as a Service offering based on Apache CouchDBTimeSeries DBMS for AIoT and BigDataElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value store
Relational DBMS
Document storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#311  Overall
#44  Key-value stores
#140  Relational DBMS
Score2.73
Rank#108  Overall
#20  Document stores
Score0.22
Rank#324  Overall
#29  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.ibm.com/­products/­cloudantmachbase.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlcloud.ibm.com/­docs/­Cloudantmachbase.com/­dbmsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperFairCom CorporationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MachbaseMicrosoft
Initial release1979201020132016
Current releaseV12, November 2020V8.0, August 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercial infofree test version availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++ErlangCC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hostedLinux
macOS
Windows
hosted
Data schemeschema free, schema optional, schema required, partial schema,schema-freeyesyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresnoyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnoSQL-like query languageyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
RESTful HTTP/JSON APIgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++View functions (Map-Reduce) in JavaScriptnoTransact SQL
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication
Source-replica replication
selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually Consistentno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infovolatile and lookup table
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users can be defined per databasesimple password-based access controlyes

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More resources
Faircom DB infoformerly c-treeACEIBM CloudantMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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