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

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

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft Azure Table Storage  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 Java embedded Key-Value Store which extends the Java Map interfaceElastic, 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 modelRelational DBMSKey-value storeRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.18
Rank#122  Overall
#59  Relational DBMS
Score0.07
Rank#359  Overall
#54  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score4.92
Rank#73  Overall
#6  Wide column stores
Websitewww.enterprisedb.comboilerbay.comazure.microsoft.com/­services/­synapse-analyticsazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.enterprisedb.com/­docsboilerbay.com/­infinitydb/­manualdocs.microsoft.com/­azure/­synapse-analytics
DeveloperEnterpriseDBBoiler Bay Inc.MicrosoftMicrosoft
Initial release2005200220162012
Current release14, December 20214.0
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemsLinux
Windows
All OS with a Java VMhostedhosted
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLyes infostandard with numerous extensionsnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
JavaC#
Java
PHP
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noTransact SQLno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangenoneSharding, horizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infomanual creation possible, using inversions based on multi-value capabilityno 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 dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesAccess rights based on private key authentication or shared access signatures

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More resources
EDB PostgresInfinityDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft Azure Table Storage
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