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DBMS > HugeGraph vs. KairosDB vs. Netezza

System Properties Comparison HugeGraph vs. KairosDB vs. Netezza

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonKairosDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDistributed Time Series DBMS based on Cassandra or H2Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­kairosdb/­kairosdbwww.ibm.com/­products/­netezza
Technical documentationhugegraph.apache.org/­docskairosdb.github.io
DeveloperBaiduIBM
Initial release201820132000
Current release0.91.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
OLE DB
Supported programming languagesGroovy
Java
Python
Java
JavaScript infoNode.js
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionssimple password-based access controlUsers with fine-grained authorization concept

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More resources
HugeGraphKairosDBNetezza infoAlso called PureData System for Analytics by IBM
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