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DBMS > Apache Phoenix vs. FoundationDB vs. GigaSpaces vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Phoenix vs. FoundationDB vs. GigaSpaces vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFoundationDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseOrdered key-value store. Core features are complimented by layers.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSearch-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Object oriented DBMS infoValues are user defined objects
Search engineRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitephoenix.apache.orggithub.com/­apple/­foundationdbwww.gigaspaces.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analytics
Technical documentationphoenix.apache.orgapple.github.io/­foundationdbdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software FoundationFoundationDBGigaspaces TechnologiesMicrosoftMicrosoft
Initial release20142013200020152016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20196.2.28, November 202015.5, September 2020V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++, .NetC++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
hostedhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free infosome layers support schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyessupported in specific SQL layer onlySQL-99 for query and DML statementsnoyes
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Python
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functionsin SQL-layer onlyyesnoTransact SQL
Triggersnonoyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyLinearizable consistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynonono 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 dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoRole-based access controlyes infousing Azure authenticationyes

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More resources
Apache PhoenixFoundationDBGigaSpacesMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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