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DBMS > Atos Standard Common Repository vs. Blazegraph vs. Faircom DB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Atos Standard Common Repository vs. Blazegraph vs. Faircom DB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBlazegraph  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryblazegraph.comwww.faircom.com/­products/­faircom-dbazure.microsoft.com/­services/­synapse-analytics
Technical documentationwiki.blazegraph.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperAtos Convergence CreatorsBlazegraphFairCom CorporationMicrosoft
Initial release2016200619792016
Current release17032.1.5, March 2019V12, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaANSI C, C++C++
Server operating systemsLinuxLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateoptionalyes infoRDF literal typesyes, ANSI SQL Types, JSON, typed binary structuresyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languageyes, ANSI SQL with proprietary extensionsyes
APIs and other access methodsLDAPJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesyes info.Net, JavaScript, C/C++Transact SQL
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesno 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 dataAtomic execution of specific operationsACIDtunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlLDAP bind authenticationSecurity and Authentication via Web Application Container (Tomcat, Jetty)Fine grained access rights according to SQL-standard with additional protections for filesyes

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More resources
Atos Standard Common RepositoryBlazegraphFaircom DB infoformerly c-treeACEMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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