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DBMS > Faircom DB vs. Hawkular Metrics vs. Interbase vs. Percona Server for MongoDB

System Properties Comparison Faircom DB vs. Hawkular Metrics vs. Interbase vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterbase  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-weight proven RDBMS infooriginally from BorlandA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#311  Overall
#44  Key-value stores
#140  Relational DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score5.04
Rank#71  Overall
#39  Relational DBMS
Score0.55
Rank#253  Overall
#39  Document stores
Websitewww.faircom.com/­products/­faircom-dbwww.hawkular.orgwww.embarcadero.com/­products/­interbasewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbasedocs.percona.com/­percona-distribution-for-mongodb
DeveloperFairCom CorporationCommunity supported by Red HatEmbarcaderoPercona
Initial release1979201419842015
Current releaseV12, November 2020InterBase 2020, December 20193.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaCC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Linux
Data schemeschema free, schema optional, schema required, partial schema,schema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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.nonono infoexport as XML data possibleno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnoyesno
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP RESTADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noyes infoInterbase procedure and trigger languageJavaScript
Triggersyesyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).selectable replication factor infobased on CassandraInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infovia In-Memory Engine
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesnofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Faircom DB infoformerly c-treeACEHawkular MetricsInterbasePercona Server for MongoDB
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