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DBMS > Firebolt vs. Hive vs. HugeGraph vs. SiteWhere

System Properties Comparison Firebolt vs. Hive vs. HugeGraph vs. SiteWhere

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from Clickhousedata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.firebolt.iohive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
github.com/­sitewhere/­sitewhere
Technical documentationdocs.firebolt.iocwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docssitewhere1.sitewhere.io/­index.html
DeveloperFirebolt Analytics Inc.Apache Software Foundation infoinitially developed by FacebookBaiduSiteWhere
Initial release2020201220182010
Current release3.1.3, April 20220.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemshostedAll OS with a Java VMLinux
macOS
Unix
Linux
OS X
Windows
Data schemeyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnono
APIs and other access methods.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
Supported programming languagesGo
JavaScript (Node.js)
Python
C++
Java
PHP
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobs
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducevia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 controlAccess rights for users, groups and rolesUsers, roles and permissionsUsers with fine-grained authorization concept

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More resources
FireboltHiveHugeGraphSiteWhere
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