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DBMS > Apache Hive vs. EsgynDB vs. Sequoiadb

System Properties Comparison Apache Hive vs. EsgynDB vs. Sequoiadb

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonEsgynDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.09
Rank#18  Overall
#12  Relational DBMS
Score0.16
Rank#324  Overall
#145  Relational DBMS
Score0.39
Rank#265  Overall
#41  Document stores
#123  Relational DBMS
Websitehive.apache.orgwww.esgyn.cnwww.sequoiadb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoinitially developed by FacebookEsgynSequoiadb Ltd.
Initial release201220152013
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC++
Server operating systemsAll OS with a Java VMLinuxLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regex
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
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC++
Java
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored ProceduresJavaScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a transaction
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.nono
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardsimple password-based access control

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More resources
Apache HiveEsgynDBSequoiadb
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