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DBMS > Apache Phoenix vs. Datomic vs. SAP Advantage Database Server vs. Vitess

System Properties Comparison Apache Phoenix vs. Datomic vs. SAP Advantage Database Server vs. Vitess

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatomic  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonVitess  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 HBaseDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityLow-cost RDBMS with access to ISAM and FoxPro data structuresScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitephoenix.apache.orgwww.datomic.comwww.sap.com/products/advantage-database-server.htmlvitess.io
Technical documentationphoenix.apache.orgdocs.datomic.comvitess.io/­docs
DeveloperApache Software FoundationCognitectSybase, SAPThe Linux Foundation, PlanetScale
Initial release2014201219932013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.7075, December 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureGo
Server operating systemsLinux
Unix
Windows
All OS with a Java VMLinux
Windows
Docker
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyesyes infowith proprietary extensions
APIs and other access methodsJDBCRESTful HTTP API.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Clojure
Java
Delphi
Perl
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes infoTransaction Functionsyesyes infoproprietary syntax
TriggersnoBy using transaction functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentno infocaching of (temporary) tables can be configuredyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache PhoenixDatomicSAP Advantage Database Server infoformer name: Sybase ADSVitess
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