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DBMS > EsgynDB vs. Faircom EDGE vs. HEAVY.AI vs. VictoriaMetrics vs. YDB

System Properties Comparison EsgynDB vs. Faircom EDGE vs. HEAVY.AI vs. VictoriaMetrics vs. YDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fast, cost-effective and scalable Time Series DBMS and monitoring solutionA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.esgyn.cnwww.faircom.com/­products/­faircom-edgegithub.com/­heavyai/­heavydb
www.heavy.ai
victoriametrics.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.heavy.aidocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
ydb.tech/­en/­docs
DeveloperEsgynFairCom CorporationHEAVY.AI, Inc.VictoriaMetricsYandex
Initial release20151979201620182019
Current releaseV3, October 20205.10, January 2022v1.91, May 2023
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
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.
Implementation languageC++, JavaANSI C, C++C++ and CUDAGo
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes, 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.noyesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infoANSI SQL queriesyesnoSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
All languages supporting JDBC/ODBC/Thrift
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes info.Net, JavaScript, C/C++nonono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationSynchronous replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
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.fine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
EsgynDBFaircom EDGE infoformerly c-treeEDGEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022VictoriaMetricsYDB
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