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DBMS > FatDB vs. Graphite vs. Hive vs. Ignite vs. TerarkDB

System Properties Comparison FatDB vs. Graphite vs. Hive vs. Ignite vs. TerarkDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGraphite  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonTerarkDB  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisperdata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.70
Rank#67  Overall
#4  Time Series DBMS
Score81.93
Rank#15  Overall
#10  Relational DBMS
Score6.43
Rank#62  Overall
#8  Key-value stores
#34  Relational DBMS
Score0.01
Rank#344  Overall
#54  Key-value stores
Websitegithub.com/­graphite-project/­graphite-webhive.apache.orgignite.apache.orggithub.com/­Terark/­terarkdb
Technical documentationgraphite.readthedocs.iocwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperFatCloudChris DavisApache Software Foundation infoinitially developed by FacebookApache Software FoundationTerark
Initial release20122006201220152016
Current release3.1.2, August 2019Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache 2.0commercial inforestricted open source version available
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#PythonJavaC++, Java, .NetC++
Server operating systemsWindowsLinux
Unix
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesno
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.noyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
Sockets
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languagesC#JavaScript (Node.js)
Python
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresyes infovia applicationsnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)no
Triggersyes infovia applicationsnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneselectable replication factoryes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
noneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
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.yesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnoAccess rights for users, groups and rolesSecurity Hooks for custom implementationsno

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More resources
FatDBGraphiteHiveIgniteTerarkDB
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