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DBMS > EJDB vs. Hawkular Metrics vs. Hive vs. InterSystems IRIS vs. Yaacomo

System Properties Comparison EJDB vs. Hawkular Metrics vs. Hive vs. InterSystems IRIS vs. Yaacomo

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.data warehouse software for querying and managing large distributed datasets, built on HadoopA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeTime Series DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.hawkular.orghive.apache.orgwww.intersystems.com/­products/­intersystems-irisyaacomo.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Homedocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperSoftmotionsCommunity supported by Red HatApache Software Foundation infoinitially developed by FacebookInterSystemsQ2WEB GmbH
Initial release20122014201220182009
Current release3.1.3, April 20222023.3, June 2023
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoApache Version 2commercialcommercial
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 languageCJavaJava
Server operating systemsserver-lessLinux
OS X
Windows
All OS with a Java VMAIX
Linux
macOS
Ubuntu
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesyes
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.noyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesyes
APIs and other access methodsin-process shared libraryHTTP RESTJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
Ruby
C++
Java
PHP
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceyes
Triggersnoyes infovia Hawkular Alertingnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandraselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and rolesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
EJDBHawkular MetricsHiveInterSystems IRISYaacomo
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
EJDBHawkular MetricsHiveInterSystems IRISYaacomo
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