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DBMS > FatDB vs. Hawkular Metrics vs. IBM Cloudant vs. Oracle Rdb vs. SingleStore

System Properties Comparison FatDB vs. Hawkular Metrics vs. IBM Cloudant vs. Oracle Rdb vs. SingleStore

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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.Database as a Service offering based on Apache CouchDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Key-value store
Time Series DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­cloudantwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.singlestore.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecloud.ibm.com/­docs/­Cloudantwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.singlestore.com
DeveloperFatCloudCommunity supported by Red HatIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Oracle, originally developed by Digital Equipment Corporation (DEC)SingleStore Inc.
Initial release20122014201019842013
Current release7.4.1.1, 20218.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaErlangC++, Go
Server operating systemsWindowsLinux
OS X
Windows
hostedHP Open VMSLinux info64 bit version required
Data schemeschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernonoyesyes infobut no triggers and foreign keys
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP RESTRESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC#Go
Java
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infovia applicationsnoView functions (Map-Reduce) in JavaScriptyes
Triggersyes infovia applicationsyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a document possibleyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnoAccess rights for users can be defined per databaseFine grained access control via users, groups and roles

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More resources
FatDBHawkular MetricsIBM CloudantOracle RdbSingleStore infoformer name was MemSQL
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