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DBMS > Apache Phoenix vs. HBase vs. Postgres-XL vs. SurrealDB

System Properties Comparison Apache Phoenix vs. HBase vs. Postgres-XL vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHBase  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseWide-column store based on Apache Hadoop and on concepts of BigTableBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSWide column storeRelational DBMSDocument store
Graph 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitephoenix.apache.orghbase.apache.orgwww.postgres-xl.orgsurrealdb.com
Technical documentationphoenix.apache.orghbase.apache.org/­book.htmlwww.postgres-xl.org/­documentationsurrealdb.com/­docs
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetSurrealDB Ltd
Initial release201420082014 infosince 2012, originally named StormDB2022
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 202110 R1, October 2018v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoMozilla public licenseOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCRust
Server operating systemsLinux
Unix
Windows
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in Javauser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-tenancyAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardyes, based on authentication and database rules

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Apache PhoenixHBasePostgres-XLSurrealDB
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