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DBMS > Faircom EDGE vs. HEAVY.AI vs. Kyligence Enterprise vs. Lovefield vs. Teradata Aster

System Properties Comparison Faircom EDGE vs. HEAVY.AI vs. Kyligence Enterprise vs. Lovefield vs. Teradata Aster

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonLovefield  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFairCom 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 distributed analytics engine for big data, built on top of Apache KylinEmbeddable relational database for web apps written in pure JavaScriptPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgegithub.com/­heavyai/­heavydb
www.heavy.ai
kyligence.io/­kyligence-enterprisegoogle.github.io/­lovefield
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperFairCom CorporationHEAVY.AI, Inc.Kyligence, Inc.GoogleTeradata
Initial release19792016201620142005
Current releaseV3, October 20205.10, January 20222.1.12, February 2017
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache 2.0commercial
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 languageANSI C, C++C++ and CUDAJavaJavaScript
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyesyes
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.yesnononoyes infoin Aster File Store
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesyesANSI SQL for queries (using Apache Calcite)SQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
All languages supporting JDBC/ODBC/Thrift
Python
JavaScriptC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++nonoR packages
TriggersyesnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing MemoryDBno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Faircom EDGE infoformerly c-treeEDGEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Kyligence EnterpriseLovefieldTeradata Aster
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