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DBMS > Brytlyt vs. eXtremeDB vs. Faircom EDGE vs. YDB vs. YugabyteDB

System Properties Comparison Brytlyt vs. eXtremeDB vs. Faircom EDGE vs. YDB vs. YugabyteDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonYDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLNatively in-memory DBMS with options for persistency, high-availability and clusteringFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible APIHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Document store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitebrytlyt.iowww.mcobject.comwww.faircom.com/­products/­faircom-edgegithub.com/­ydb-platform/­ydb
ydb.tech
www.yugabyte.com
Technical documentationdocs.brytlyt.iowww.mcobject.com/­docs/­extremedb.htmdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlydb.tech/­en/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperBrytlytMcObjectFairCom CorporationYandexYugabyte Inc.
Initial release20162001197920192017
Current release5.0, August 20238.2, 2021V3, October 20202.19, September 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoRestricted, free version availableOpen Source infoApache 2.0; commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC, C++ and CUDAC and C++ANSI C, C++C and C++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Android
Linux infoARM, x86
Raspbian
Windows
LinuxLinux
OS X
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)depending on used data model
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyesyes
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.no infosupport of XML interfaces availableyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLyes infoANSI SQL queriesSQL-like query language (YQL)yes, PostgreSQL compatible
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP API (DynamoDB compatible)JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Go
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesyes info.Net, JavaScript, C/C++noyes infosql, plpgsql, C
Triggersyesyes infoby defining eventsyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingFile partitioning infoCustomizable business rules for partitioningShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoSynchronous and asynchronous realtime replication based on transaction logsActive-passive shard replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesyesyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
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.Access rights defined for Yandex Cloud usersyes
More information provided by the system vendor
BrytlyteXtremeDBFaircom EDGE infoformerly c-treeEDGEYDBYugabyteDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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YugabyteDB is an open source distributed SQL database for cloud native transactional...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Systems of record and engagement for cloud native applications that require resilience,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Apache 2.0 license for the database
» more

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More resources
BrytlyteXtremeDBFaircom EDGE infoformerly c-treeEDGEYDBYugabyteDB
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