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DBMS > EsgynDB vs. Hive vs. Splunk

System Properties Comparison EsgynDB vs. Hive vs. Splunk

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHive  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodiondata warehouse software for querying and managing large distributed datasets, built on HadoopAnalytics Platform for Big Data
Primary database modelRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitewww.esgyn.cnhive.apache.orgwww.splunk.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.splunk.com/­Documentation/­Splunk
DeveloperEsgynApache Software Foundation infoinitially developed by FacebookSplunk Inc.
Initial release201520122003
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJava
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno infoSplunk Search Processing Language for search commands
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
PHP
Python
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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 controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights for users and roles

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More resources
EsgynDBHiveSplunk
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