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DBMS > Apache Phoenix vs. HugeGraph vs. JaguarDB vs. Snowflake

System Properties Comparison Apache Phoenix vs. HugeGraph vs. JaguarDB vs. Snowflake

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHugeGraph  Xexclude from comparisonJaguarDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA fast-speed and highly-scalable Graph DBMSPerformant, highly scalable DBMS for AI and IoT applicationsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSGraph DBMSKey-value store
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitephoenix.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.jaguardb.comwww.snowflake.com
Technical documentationphoenix.apache.orghugegraph.apache.org/­docswww.jaguardb.com/­support.htmldocs.snowflake.net/­manuals/­index.html
DeveloperApache Software FoundationBaiduDataJaguar, Inc.Snowflake Computing Inc.
Initial release2014201820152014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.93.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
Unix
Windows
Linux
macOS
Unix
Linuxhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nononoyes
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnouser defined functions
Triggersnononono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingyes
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 HBaseMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionsrights management via user accountsUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache PhoenixHugeGraphJaguarDBSnowflake
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, azure.microsoft.com

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

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27 March 2017, SDTimes.com

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