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DBMS > Brytlyt vs. Citus vs. Geode vs. Hazelcast

System Properties Comparison Brytlyt vs. Citus vs. Geode vs. Hazelcast

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCitus  Xexclude from comparisonGeode  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA widely adopted in-memory data grid
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitebrytlyt.iowww.citusdata.comgeode.apache.orghazelcast.com
Technical documentationdocs.brytlyt.iodocs.citusdata.comgeode.apache.org/­docshazelcast.org/­imdg/­docs
DeveloperBrytlytOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hazelcast
Initial release2016201020022008
Current release5.0, August 20238.1, December 20181.1, February 20175.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDACJavaJava
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VM
Data schemeyesyesschema-freeschema-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.yes infospecific XML-type available, but no XML query functionality.yes infospecific XML type available, but no XML query functionalitynoyes infothe object must implement a serialization strategy
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsSQL-like query language (OQL)SQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java Client API
Memcached protocol
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsyes infoEvent Listeners, Executor Services
Triggersyesyesyes infoCache Event Listenersyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeone or two-phase-commit; repeatable reads; read commited
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights per client and object definableRole-based access control

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More resources
BrytlytCitusGeodeHazelcast
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