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DBMS > HugeGraph vs. Hyprcubd vs. Ignite vs. SiteWhere

System Properties Comparison HugeGraph vs. Hyprcubd vs. Ignite vs. SiteWhere

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonHyprcubd  Xexclude from comparisonIgnite  Xexclude from comparisonSiteWhere  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSServerless Time Series 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.M2M integration platform for persisting/querying time series data
Primary database modelGraph DBMSTime Series DBMSKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
hyprcubd.com (offline)ignite.apache.orggithub.com/­sitewhere/­sitewhere
Technical documentationhugegraph.apache.org/­docsapacheignite.readme.io/­docssitewhere1.sitewhere.io/­index.html
DeveloperBaiduHyprcubd, Inc.Apache Software FoundationSiteWhere
Initial release201820152010
Current release0.9Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++, Java, .NetJava
Server operating systemsLinux
macOS
Unix
hostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes
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 indexesyes infoalso supports composite index and range indexnoyesno
SQL infoSupport of SQLnoSQL-like query languageANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC (https)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
Supported programming languagesGroovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes (compute grid and cache interceptors can be used instead)
Triggersnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlUsers, roles and permissionstoken accessSecurity Hooks for custom implementationsUsers with fine-grained authorization concept

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More resources
HugeGraphHyprcubdIgniteSiteWhere
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