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DBMS > Faircom EDGE vs. Hive vs. Quasardb vs. Snowflake

System Properties Comparison Faircom EDGE vs. Hive vs. Quasardb vs. Snowflake

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score123.20
Rank#9  Overall
#6  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgehive.apache.orgquasar.aiwww.snowflake.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterdocs.snowflake.net/­manuals/­index.html
DeveloperFairCom CorporationApache Software Foundation infoinitially developed by FacebookquasardbSnowflake Computing Inc.
Initial release1979201220092014
Current releaseV3, October 20203.1.3, April 20223.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++JavaC++
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyes infointeger and binaryyes
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.yesnoyes
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP APICLI Client
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reducenouser defined functions
Triggersyesnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingSharding infoconsistent hashingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factorSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducewith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and rolesCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Faircom EDGE infoformerly c-treeEDGEHiveQuasardbSnowflake
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