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DBMS > AgensGraph vs. Atos Standard Common Repository vs. EDB Postgres vs. LeanXcale vs. Microsoft Azure Synapse Analytics

System Properties Comparison AgensGraph vs. Atos Standard Common Repository vs. EDB Postgres vs. LeanXcale vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonEDB Postgres  Xexclude from comparisonLeanXcale  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.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Relational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitebitnine.net/­agensgraphatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.enterprisedb.comwww.leanxcale.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationbitnine.net/­documentationwww.enterprisedb.com/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperBitnine Global Inc.Atos Convergence CreatorsEnterpriseDBLeanXcaleMicrosoft
Initial release20162016200520152016
Current release2.1, December 2018170314, December 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infoBSD for PostgreSQL-componentscommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaCC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
hosted
Data schemedepending on used data modelSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infostandard with numerous extensionsyes infothrough Apache Derbyyes
APIs and other access methodsCypher Query Language
JDBC
LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
All languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C
Java
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Transact SQL
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infocell divisionhorizontal partitioning infoby hash, list or rangeSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno 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 dataACIDAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationfine grained access rights according to SQL-standardyes

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More resources
AgensGraphAtos Standard Common RepositoryEDB PostgresLeanXcaleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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