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DBMS > Apache Phoenix vs. EDB Postgres vs. FatDB vs. Infobright vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Phoenix vs. EDB Postgres vs. FatDB vs. Infobright vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFatDB  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseThe 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 .NET NoSQL DBMS that can integrate with and extend SQL Server.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitephoenix.apache.orgwww.enterprisedb.comignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­services/­synapse-analytics
Technical documentationphoenix.apache.orgwww.enterprisedb.com/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software FoundationEnterpriseDBFatCloudIgnite Technologies Inc.; formerly InfoBright Inc.Microsoft
Initial release20142005201220052016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201914, December 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBSD for PostgreSQL-componentscommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#CC++
Server operating systemsLinux
Unix
Windows
Linux
Windows
WindowsLinux
Windows
hosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesyes
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.nono
Secondary indexesyesyesyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLyesyes infostandard with numerous extensionsno infoVia inetgration in SQL Serveryesyes
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infovia applicationsnoTransact SQL
Triggersnoyesyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoby hash, list or rangeShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationselectable replication factorSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono 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 dataACIDACIDnoACIDACID
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.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyes

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More resources
Apache PhoenixEDB PostgresFatDBInfobrightMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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