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DBMS > eXtremeDB vs. FatDB vs. Hive vs. Prometheus vs. Quasardb

System Properties Comparison eXtremeDB vs. FatDB vs. Hive vs. Prometheus vs. Quasardb

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFatDB  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA .NET NoSQL DBMS that can integrate with and extend SQL Server.data warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.mcobject.comhive.apache.orgprometheus.ioquasar.ai
Technical documentationwww.mcobject.com/­docs/­extremedb.htmcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­master
DeveloperMcObjectFatCloudApache Software Foundation infoinitially developed by Facebookquasardb
Initial release20012012201220152009
Current release8.2, 20213.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 and C++C#JavaGoC++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
WindowsAll OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes infointeger and binary
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.no infosupport of XML interfaces availableno infoImport of XML data possibleno
Secondary indexesyesyesyesnoyes infowith tags
SQL infoSupport of SQLyes infowith the option: eXtremeSQLno infoVia inetgration in SQL ServerSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#C++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyes infovia applicationsyes infouser defined functions and integration of map-reducenono
Triggersyes infoby defining eventsyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricā„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factorselectable replication factoryes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
eXtremeDBFatDBHivePrometheusQuasardb
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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eXtremeDBFatDBHivePrometheusQuasardb
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