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

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

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHugeGraph  Xexclude from comparisonQuasardb  Xexclude from comparisonSadas Engine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA fast-speed and highly-scalable Graph DBMSDistributed, high-performance timeseries databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSGraph DBMSTime Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitephoenix.apache.orggithub.com/­hugegraph
hugegraph.apache.org
quasar.aiwww.sadasengine.comwww.tigergraph.com
Technical documentationphoenix.apache.orghugegraph.apache.org/­docsdoc.quasar.ai/­masterwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.tigergraph.com
DeveloperApache Software FoundationBaiduquasardbSADAS s.r.l.
Initial release20142018200920062017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.93.14.1, January 20248.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++C++
Server operating systemsLinux
Unix
Windows
Linux
macOS
Unix
BSD
Linux
OS X
Windows
AIX
Linux
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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.nonononono
Secondary indexesyesyes infoalso supports composite index and range indexyes infowith tagsyes
SQL infoSupport of SQLyesnoSQL-like query languageyesSQL-like query language (GSQL)
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIJDBC
ODBC
Proprietary protocol
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnonoyes
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes 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
yes 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 integrationvia hugegraph-sparkwith Hadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
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'no
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionsCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
Apache PhoenixHugeGraphQuasardbSadas EngineTigerGraph
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