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

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

Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonIgnite  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionData 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 HadoopA fast-speed and highly-scalable Graph DBMSApache 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 modelTime Series DBMSRelational DBMSGraph DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­graphite-project/­graphite-webhive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orggithub.com/­bytedance/­terarkdb
Technical documentationgraphite.readthedocs.iocwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsapacheignite.readme.io/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperChris DavisApache Software Foundation infoinitially developed by FacebookBaiduApache Software FoundationByteDance, originally Terark
Initial release20062012201820152016
Current release3.1.3, April 20220.9Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0Open 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 languagePythonJavaJavaC++, Java, .NetC++
Server operating systemsLinux
Unix
All OS with a Java VMLinux
macOS
Unix
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyesno
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 indexesnoyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsHTTP API
Sockets
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languagesJavaScript (Node.js)
Python
C++
Java
PHP
Python
Groovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsyes (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 nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducevia hugegraph-sparkyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyesyes
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.yesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesUsers, roles and permissionsSecurity Hooks for custom implementationsno

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More resources
GraphiteHiveHugeGraphIgniteTerarkDB
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