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DBMS > Interbase vs. Newts vs. Postgres-XL vs. Quasardb vs. Vitess

System Properties Comparison Interbase vs. Newts vs. Postgres-XL vs. Quasardb vs. Vitess

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonNewts  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandTime Series DBMS based on CassandraBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries databaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.embarcadero.com/­products/­interbaseopennms.github.io/­newtswww.postgres-xl.orgquasar.aivitess.io
Technical documentationdocs.embarcadero.com/­products/­interbasegithub.com/­OpenNMS/­newts/­wikiwww.postgres-xl.org/­documentationdoc.quasar.ai/­mastervitess.io/­docs
DeveloperEmbarcaderoOpenNMS GroupquasardbThe Linux Foundation, PlanetScale
Initial release198420142014 infosince 2012, originally named StormDB20092013
Current releaseInterBase 2020, December 201910 R1, October 20183.14.1, January 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaCC++Go
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
BSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.no infoexport as XML data possiblenoyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyes infowith tagsyes
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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 proceduresyes infoInterbase procedure and trigger languagenouser defined functionsnoyes infoproprietary syntax
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioningSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsselectable replication factor infobased on CassandraSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept infono user groups or roles

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More resources
InterbaseNewtsPostgres-XLQuasardbVitess
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