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DBMS > AgensGraph vs. Brytlyt vs. HBase vs. Postgres-XL

System Properties Comparison AgensGraph vs. Brytlyt vs. HBase vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBrytlyt  Xexclude from comparisonHBase  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWide-column store based on Apache Hadoop and on concepts of BigTableBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebitnine.net/­agensgraphbrytlyt.iohbase.apache.orgwww.postgres-xl.org
Technical documentationbitnine.net/­documentationdocs.brytlyt.iohbase.apache.org/­book.htmlwww.postgres-xl.org/­documentation
DeveloperBitnine Global Inc.BrytlytApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2016201620082014 infosince 2012, originally named StormDB
Current release2.1, December 20185.0, August 20232.3.4, January 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache version 2Open Source infoMozilla public license
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 languageCC, C++ and CUDAJavaC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Data schemedepending on used data modelyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.noyes infospecific XML-type available, but no XML query functionality.noyes infoXML type, but no XML query functionality
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesnoyes infodistributed, parallel query execution
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLyes infoCoprocessors in Javauser defined functions
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID infoMVCC
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
AgensGraphBrytlytHBasePostgres-XL
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