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DBMS > AgensGraph vs. Brytlyt vs. Cassandra vs. HBase

System Properties Comparison AgensGraph vs. Brytlyt vs. Cassandra vs. HBase

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBrytlyt  Xexclude from comparisonCassandra  Xexclude from comparisonHBase  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 ideas of BigTable and DynamoDB infoOptimized for write accessWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSWide column storeWide column store
Secondary database modelsVector DBMS infostarting with release V5
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
Score101.89
Rank#12  Overall
#1  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitebitnine.net/­agensgraphbrytlyt.iocassandra.apache.orghbase.apache.org
Technical documentationbitnine.net/­documentationdocs.brytlyt.iocassandra.apache.org/­doc/­latesthbase.apache.org/­book.html
DeveloperBitnine Global Inc.BrytlytApache Software Foundation infoApache top level project, originally developped by FacebookApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2016201620082008
Current release2.1, December 20185.0, August 20234.1.3, July 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache version 2Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageCC, C++ and CUDAJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Data schemedepending on used data modelyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVRO
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.nono
Secondary indexesyesyesrestricted infoonly equality queries, not always the best performing solutionno
SQL infoSupport of SQLyesyesSQL-like SELECT, DML and DDL statements (CQL)no
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Java API
RESTful HTTP API
Thrift
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLnoyes infoCoprocessors in Java
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operationsSingle row ACID (across millions of columns)
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users can be defined per objectAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
AgensGraphBrytlytCassandraHBase
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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