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DBMS > Apache Phoenix vs. Hive vs. HugeGraph vs. Quasardb vs. Sadas Engine

System Properties Comparison Apache Phoenix vs. Hive vs. HugeGraph vs. Quasardb vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonQuasardb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBasedata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSDistributed, high-performance timeseries databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSGraph DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitephoenix.apache.orghive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
quasar.aiwww.sadasengine.com
Technical documentationphoenix.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsdoc.quasar.ai/­masterwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationApache Software Foundation infoinitially developed by FacebookBaiduquasardbSADAS s.r.l.
Initial release20142012201820092006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1.3, April 20220.93.14.1, January 20248.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree trial 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 languageJavaJavaJavaC++C++
Server operating systemsLinux
Unix
Windows
All OS with a Java VMLinux
macOS
Unix
BSD
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nononono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes infowith tagsyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoSQL-like query languageyes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
Groovy
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infoquery execution via MapReducevia hugegraph-sparkwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and rolesUsers, roles and permissionsCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PhoenixHiveHugeGraphQuasardbSadas Engine
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