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

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

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGraphite  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLData 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 modelGraph DBMS
Relational DBMS
Time Series DBMSRelational DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score4.75
Rank#75  Overall
#5  Time Series DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitebitnine.net/­agensgraphgithub.com/­graphite-project/­graphite-webhive.apache.orgignite.apache.orggithub.com/­bytedance/­terarkdb
Technical documentationbitnine.net/­documentationgraphite.readthedocs.iocwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBitnine Global Inc.Chris DavisApache Software Foundation infoinitially developed by FacebookApache Software FoundationByteDance, originally Terark
Initial release20162006201220152016
Current release2.1, December 20183.1.3, April 2022Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open 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

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Implementation languageCPythonJavaC++, Java, .NetC++
Server operating systemsLinux
OS X
Windows
Linux
Unix
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyesyesschema-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.nonoyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsCypher Query Language
JDBC
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
Java
JavaScript
Python
JavaScript (Node.js)
Python
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)no
Triggersnononoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factoryes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and rolesSecurity Hooks for custom implementationsno

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More resources
AgensGraphGraphiteHiveIgniteTerarkDB
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