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DBMS > Brytlyt vs. Faircom EDGE vs. RavenDB vs. Realm

System Properties Comparison Brytlyt vs. Faircom EDGE vs. RavenDB vs. Realm

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonRavenDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score7.41
Rank#52  Overall
#8  Document stores
Websitebrytlyt.iowww.faircom.com/­products/­faircom-edgeravendb.netrealm.io
Technical documentationdocs.brytlyt.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlravendb.net/­docsrealm.io/­docs
DeveloperBrytlytFairCom CorporationHibernating RhinosRealm, acquired by MongoDB in May 2019
Initial release2016197920102014
Current release5.0, August 2023V3, October 20205.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoAGPL version 3, commercial license availableOpen Source
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 CUDAANSI C, C++C#
Server operating systemsLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Raspberry Pi
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesnoyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infoANSI SQL queriesSQL-like query language (RQL)no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes info.Net, JavaScript, C/C++yesno inforuns within the applications so server-side scripts are unnecessary
Triggersyesyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes
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.yesyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Authorization levels configured per client per databaseyes

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More resources
BrytlytFaircom EDGE infoformerly c-treeEDGERavenDBRealm
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