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DBMS > AgensGraph vs. EDB Postgres vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage

System Properties Comparison AgensGraph vs. EDB Postgres vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLThe 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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSSpatial DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitebitnine.net/­agensgraphwww.enterprisedb.comwww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticsazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationbitnine.net/­documentationwww.enterprisedb.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperBitnine Global Inc.EnterpriseDBCCRi and othersMicrosoftMicrosoft
Initial release20162005201420162012
Current release2.1, December 201814, December 20214.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoBSD for PostgreSQL-componentsOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCScalaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedhosted
Data schemedepending on used data modelyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyes infostandard with numerous extensionsnoyesno
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
Java
PHP
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noTransact SQLno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning infoby hash, list or rangedepending on storage layerSharding, horizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationdepending on storage layeryesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.nonodepending on storage layerno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageyesAccess rights based on private key authentication or shared access signatures

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More resources
AgensGraphEDB PostgresGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft Azure Table Storage
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