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DBMS > EDB Postgres vs. Elasticsearch vs. Graph Engine vs. Microsoft Azure Synapse Analytics

System Properties Comparison EDB Postgres vs. Elasticsearch vs. Graph Engine vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonElasticsearch  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionThe 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 distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSSearch engineGraph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.18
Rank#122  Overall
#59  Relational DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitewww.enterprisedb.comwww.elastic.co/­elasticsearchwww.graphengine.ioazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.enterprisedb.com/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analytics
DeveloperEnterpriseDBElasticMicrosoftMicrosoft
Initial release2005201020102016
Current release14, December 20218.6, January 2023
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoElastic LicenseOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava.NET and CC++
Server operating systemsLinux
Windows
All OS with a Java VM.NEThosted
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like query languagenoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyesTransact SQL
Triggersyesyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardinghorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate 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 dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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More resources
EDB PostgresElasticsearchGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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