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DBMS > Apache Druid vs. Faircom EDGE vs. Fauna

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFauna  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFairCom 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 DBMS
Time Series DBMS
Key-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
Score2.81
Rank#100  Overall
#51  Relational DBMS
#6  Time Series 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
Websitedruid.apache.orgwww.faircom.com/­products/­faircomedge-iot-databasefauna.com
Technical documentationdruid.apache.org/­docs/­latest/­designlearn.faircomcorp.com/­developers/­documentation_directorydocs.fauna.com
DeveloperApache Software Foundation and contributorsFairCom CorporationFauna, Inc.
Initial release201219792014
Current release0.21.0, April 2021V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercial 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
OS X
Unix
Android
Linux infoARM, x86
Raspbian
Windows
hosted
Data schemeyes infoschema-less columns are supportedFlexible 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 SQLSQL for queryingyes infoANSI SQL queriesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functions
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 datanoACIDACID
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.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine 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 DruidFaircom 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 DruidFaircom EDGE infoformerly c-treeEDGEFauna
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