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DBMS > FatDB vs. Hawkular Metrics vs. Netezza vs. SQLite vs. Yaacomo

System Properties Comparison FatDB vs. Hawkular Metrics vs. Netezza vs. SQLite vs. Yaacomo

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQLite  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Data warehouse and analytics appliance part of IBM PureSystemsWidely used embeddable, in-process RDBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score103.35
Rank#10  Overall
#7  Relational DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­netezzawww.sqlite.orgyaacomo.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.sqlite.org/­docs.html
DeveloperFatCloudCommunity supported by Red HatIBMDwayne Richard HippQ2WEB GmbH
Initial release20122014200020002009
Current release3.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaC
Server operating systemsWindowsLinux
OS X
Windows
Linux infoincluded in applianceserver-lessAndroid
Linux
Windows
Data schemeschema-freeschema-freeyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyesyes infoSQL-92 is not fully supportedyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP RESTJDBC
ODBC
OLE DB
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
ODBC
Supported programming languagesC#Go
Java
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyes infovia applicationsnoyesno
Triggersyes infovia applicationsyes infovia Hawkular Alertingnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on CassandraSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.noyesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnoUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standard

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More resources
FatDBHawkular MetricsNetezza infoAlso called PureData System for Analytics by IBMSQLiteYaacomo
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