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DBMS > Apache Phoenix vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. Realm vs. SAP Advantage Database Server

System Properties Comparison Apache Phoenix vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. Realm vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRealm  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSearch-as-a-service for web and mobile app developmentA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataLow-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelRelational DBMSDocument storeSearch engineDocument storeRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score7.41
Rank#52  Overall
#8  Document stores
Websitephoenix.apache.orgcloud.google.com/­datastoreazure.microsoft.com/­en-us/­services/­searchrealm.iowww.sap.com/products/advantage-database-server.html
Technical documentationphoenix.apache.orgcloud.google.com/­datastore/­docslearn.microsoft.com/­en-us/­azure/­searchrealm.io/­docs
DeveloperApache Software FoundationGoogleMicrosoftRealm, acquired by MongoDB in May 2019Sybase, SAP
Initial release20142008201520141993
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
Unix
Windows
hostedhostedAndroid
Backend: server-less
iOS
Windows
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)nonoyes
APIs and other access methodsJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP API.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Delphi
Perl
PHP
Server-side scripts infoStored proceduresuser defined functionsusing Google App Enginenono inforuns within the applications so server-side scripts are unnecessaryyes
TriggersnoCallbacks using the Google Apps Enginenoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using Paxosyes infoImplicit feature of the cloud servicenoneMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonoyes infoIn-Memory realmno infocaching of (temporary) tables can be configured
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authenticationyesfine grained access rights according to SQL-standard

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More resources
Apache PhoenixGoogle Cloud DatastoreMicrosoft Azure AI SearchRealmSAP Advantage Database Server infoformer name: Sybase ADS
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