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DBMS > Brytlyt vs. Cachelot.io vs. Citus vs. Neo4j

System Properties Comparison Brytlyt vs. Cachelot.io vs. Citus vs. Neo4j

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCachelot.io  Xexclude from comparisonCitus  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLIn-memory caching systemScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSKey-value storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score0.00
Rank#396  Overall
#64  Key-value stores
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Websitebrytlyt.iocachelot.iowww.citusdata.comneo4j.com
Technical documentationdocs.brytlyt.iodocs.citusdata.comneo4j.com/­docs
DeveloperBrytlytNeo4j, Inc.
Initial release2016201520102007
Current release5.0, August 20238.1, December 20185.19, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD LicenseOpen Source infoAGPL, commercial license also availableOpen Source infoGPL version3, commercial licenses available
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC, C++ and CUDAC++CJava, Scala
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyes infospecific XML type available, but no XML query functionality
Secondary indexesyesnoyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesnoyes infostandard, with numerous extensionsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Memcached protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoUser defined Procedures and Functions
Triggersyesnoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication infoother methods possible by using 3rd party extensionsCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphs
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 persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
BrytlytCachelot.ioCitusNeo4j
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Recent citations in the news

Brytlyt releases version 5.0, introducing a more intuitive, intelligent and flexible analytics platform
1 August 2023, PR Newswire

London data analytics startup Brytlyt raises €4.43M from Amsterdam-based Finch Capital, others
22 December 2021, Silicon Canals

Brytlyt becomes NVIDIA Inception Premier Partner
31 January 2023, PR Newswire

London’s Brytlyt raises €4.4 million for its data analytics and visualisation technology
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