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DBMS > Apache Phoenix vs. Datomic vs. Microsoft Azure Synapse Analytics vs. RethinkDB vs. XTDB

System Properties Comparison Apache Phoenix vs. Datomic vs. Microsoft Azure Synapse Analytics vs. RethinkDB vs. XTDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRethinkDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
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 durabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDBMS for the Web with a mechanism to push updated query results to applications in realtime.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeDocument store
Secondary database modelsSpatial 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
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitephoenix.apache.orgwww.datomic.comazure.microsoft.com/­services/­synapse-analyticsrethinkdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationphoenix.apache.orgdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticsrethinkdb.com/­docswww.xtdb.com/­docs
DeveloperApache Software FoundationCognitectMicrosoftThe Linux Foundation infosince July 2017Juxt Ltd.
Initial release20142012201620092019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.7075, December 20232.4.1, August 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercialOpen Source infoApache Version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++C++Clojure
Server operating systemsLinux
Unix
Windows
All OS with a Java VMhostedLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometryyes, extensible-data-notation format
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 SQLyesnoyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Clojure
Java
C#
Java
PHP
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsyes infoTransaction FunctionsTransact SQLno
TriggersnoBy using transaction functionsnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersyesSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoyesyes infousers and table-level permissions

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More resources
Apache PhoenixDatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRethinkDBXTDB infoformerly named Crux
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