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DBMS > Apache Phoenix vs. Faircom EDGE vs. Fauna

System Properties Comparison Apache Phoenix vs. Faircom EDGE vs. Fauna

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFauna  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFauna (previously named FaunaDB) provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.08
Rank#94  Overall
#49  Relational DBMS
Score0.20
Rank#287  Overall
#42  Key-value stores
#132  Relational DBMS
Score1.67
Rank#135  Overall
#22  Document stores
#12  Graph DBMS
#66  Relational DBMS
#9  Time Series DBMS
Websitephoenix.apache.orgwww.faircom.com/­products/­faircomedge-iot-databasefauna.com
Technical documentationphoenix.apache.orglearn.faircomcorp.com/­developers/­documentation_directorydocs.fauna.com
DeveloperApache Software FoundationFairCom CorporationFauna, Inc.
Initial release201419792014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++Scala
Server operating systemsLinux
Unix
Windows
Android
Linux infoARM, x86
Raspbian
Windows
hosted
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesno
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infoANSI SQL queriesno
APIs and other access methodsJDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Server-side scripts infoStored proceduresuser defined functionsyes info.Net, JavaScript, C/C++user defined functions
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Identity management, authentication, and access control
More information provided by the system vendor
Apache PhoenixFaircom EDGE infoformerly c-treeEDGEFauna
Specific characteristicsFairCom EDGE provides the power of a full-featured database that is designed specifically...
» more
Serverless database delivered as an API Web-native security model with attribute...
» more
Competitive advantagesTop Features JSON Multimodel SQL and NoSQL APIs Automatic database tuning Custom...
» more
100% serverless , no connection pooling bottlenecks, or cold starts unlike legacy...
» more
Typical application scenariosFairCom EDGE can be deployed at or near the data collection point (sensors) and used...
» more
Javascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
Key customersUPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell Automation,...
» more
ShiftX
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of FairCom EDGE are flexible to meet operation requirements,...
» more
Usage-based pricing including a free tier
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PhoenixFaircom EDGE infoformerly c-treeEDGEFauna
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