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DBMS > Apache Phoenix vs. Faircom EDGE vs. Hawkular Metrics vs. Microsoft Azure SQL Database vs. Prometheus

System Properties Comparison Apache Phoenix vs. Faircom EDGE vs. Hawkular Metrics vs. Microsoft Azure SQL Database vs. Prometheus

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPrometheus  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 environmentsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering with high compatibility to Microsoft SQL ServerOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitephoenix.apache.orgwww.faircom.com/­products/­faircom-edgewww.hawkular.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaseprometheus.io
Technical documentationphoenix.apache.orgdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­en-us/­azure/­azure-sqlprometheus.io/­docs
DeveloperApache Software FoundationFairCom CorporationCommunity supported by Red HatMicrosoft
Initial release20141979201420102015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V3, October 2020V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++JavaC++Go
Server operating systemsLinux
Unix
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
hostedLinux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL TypesyesyesNumeric data only
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.noyesnoyesno infoImport of XML data possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesyes infoANSI SQL queriesnoyesno
APIs and other access methodsJDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP RESTADO.NET
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Go
Java
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes info.Net, JavaScript, C/C++noTransact SQLno
Triggersnoyesyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor infobased on Cassandrayes, with always 3 replicas availableyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integritynoyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
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.nofine grained access rights according to SQL-standardno

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More resources
Apache PhoenixFaircom EDGE infoformerly c-treeEDGEHawkular MetricsMicrosoft Azure SQL Database infoformerly SQL AzurePrometheus
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