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DBMS > Apache Phoenix vs. Newts vs. PostgreSQL vs. SurrealDB

System Properties Comparison Apache Phoenix vs. Newts vs. PostgreSQL vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonNewts  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseTime Series DBMS based on CassandraWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Graph DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitephoenix.apache.orgopennms.github.io/­newtswww.postgresql.orgsurrealdb.com
Technical documentationphoenix.apache.orggithub.com/­OpenNMS/­newts/­wikiwww.postgresql.org/­docssurrealdb.com/­docs
DeveloperApache Software FoundationOpenNMS GroupPostgreSQL Global Development Group infowww.postgresql.org/­developerSurrealDB Ltd
Initial release201420141989 info1989: Postgres, 1996: PostgreSQL2022
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201916.4, August 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageJavaJavaCRust
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoyes infostandard with numerous extensionsSQL-like query language
APIs and other access methodsJDBCHTTP REST
Java API
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
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrapartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.yesnono
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-standardyes, based on authentication and database rules

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More resources
Apache PhoenixNewtsPostgreSQLSurrealDB
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

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