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DBMS > Drizzle vs. Faircom EDGE vs. Fujitsu Enterprise Postgres vs. Hawkular Metrics

System Properties Comparison Drizzle vs. Faircom EDGE vs. Fujitsu Enterprise Postgres vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.postgresql.fastware.comwww.hawkular.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.postgresql.fastware.com/­product-manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperDrizzle project, originally started by Brian AkerFairCom CorporationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCommunity supported by Red Hat
Initial release200819792014
Current release7.2.4, September 2012V3, October 2020Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++CJava
Server operating systemsFreeBSD
Linux
OS X
Android
Linux infoARM, x86
Raspbian
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.yesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyes infoANSI SQL queriesyesno
APIs and other access methodsJDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functionsno
Triggersno infohooks for callbacks inside the server can be used.yesyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningpartitioning by range, list and by hashSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardno

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More resources
DrizzleFaircom EDGE infoformerly c-treeEDGEFujitsu Enterprise PostgresHawkular Metrics
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