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DBMS > Faircom DB vs. Hawkular Metrics vs. IBM Db2 vs. PouchDB

System Properties Comparison Faircom DB vs. Hawkular Metrics vs. IBM Db2 vs. PouchDB

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonPouchDB  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.Common in IBM host environments, 2 different versions for host and Windows/LinuxJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBDocument store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score123.05
Rank#9  Overall
#6  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websitewww.faircom.com/­products/­faircom-dbwww.hawkular.orgwww.ibm.com/­products/­db2pouchdb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.ibm.com/­docs/­en/­db2pouchdb.com/­guides
DeveloperFairCom CorporationCommunity supported by Red HatIBMApache Software Foundation
Initial release197920141983 infohost version2012
Current releaseV13, July 202412.1, October 20167.1.1, June 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercial infofree version is availableOpen Source
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++JavaC and C++JavaScript
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
server-less, requires a JavaScript environment (browser, Node.js)
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 structuresyesyesno
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
Secondary indexesyesnoyesyes infovia views
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
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
Java
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
JavaScript
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noyesView functions in JavaScript
Triggersyesyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infobased on CassandraSharding infoonly with Windows/Unix/Linux VersionSharding infowith a proxy-based framework, named couchdb-lounge
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 Cassandrayes infowith separate tools (MQ, InfoSphere)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
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
Eventual 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
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesnofine grained access rights according to SQL-standardno

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More resources
Faircom DB infoformerly c-treeACEHawkular MetricsIBM Db2 infoformerly named DB2 or IBM Database 2PouchDB
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