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DBMS > Faircom EDGE vs. Google Cloud Bigtable vs. Lovefield vs. OmniSci

System Properties Comparison Faircom EDGE vs. Google Cloud Bigtable vs. Lovefield vs. OmniSci

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLovefield  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Embeddable relational database for web apps written in pure JavaScriptA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelKey-value store
Relational DBMS
Wide column storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#282  Overall
#41  Key-value stores
#130  Relational DBMS
Score3.63
Rank#91  Overall
#8  Wide column stores
Score0.30
Rank#269  Overall
#124  Relational DBMS
Score1.26
Rank#154  Overall
#75  Relational DBMS
Websitewww.faircom.com/­products/­faircomedge-iot-databasecloud.google.com/­bigtablegoogle.github.io/­lovefieldgithub.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorycloud.google.com/­bigtable/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.omnisci.com
DeveloperFairCom CorporationGoogleGoogleMapD Technologies, Inc.
Initial release1979201520142016
Current releaseV3, October 20202.1.12, February 20175.6, April 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++JavaScriptC++ and CUDA
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesnoyesyes
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.yesnonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infoANSI SQL queriesnoSQL-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
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
Vega
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScriptAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++nonono
TriggersyesnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsInternal replication in Colossus, and regional replication between two clusters in different zonesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyes, 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.yesnoyes infousing MemoryDByes
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 roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
Faircom EDGE infoformerly c-treeEDGEGoogle Cloud BigtableLovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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