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DBMS > Brytlyt vs. CockroachDB vs. Faircom EDGE vs. Newts

System Properties Comparison Brytlyt vs. CockroachDB vs. Faircom EDGE vs. Newts

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCockroachDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitebrytlyt.iowww.cockroachlabs.comwww.faircom.com/­products/­faircom-edgeopennms.github.io/­newts
Technical documentationdocs.brytlyt.iowww.cockroachlabs.com/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­OpenNMS/­newts/­wiki
DeveloperBrytlytCockroach LabsFairCom CorporationOpenNMS Group
Initial release2016201519792014
Current release5.0, August 202323.1.1, May 2023V3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercial infoRestricted, free version availableOpen Source infoApache 2.0
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 CUDAGoANSI C, C++Java
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
Data schemeyesdynamic schemaFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLyes infoANSI SQL queriesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP REST
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes info.Net, JavaScript, C/C++no
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTFile partitioning infoCustomizable business rules for partitioningSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyesyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes 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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no

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BrytlytCockroachDBFaircom EDGE infoformerly c-treeEDGENewts
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