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DBMS > Bangdb vs. EJDB vs. Hawkular Metrics vs. Hive vs. Yaacomo

System Properties Comparison Bangdb vs. EJDB vs. Hawkular Metrics vs. Hive vs. Yaacomo

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEJDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionConverged and high performance database for device data, events, time series, document and graphEmbeddable 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 HadoopOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
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
Websitebangdb.comgithub.com/­Softmotions/­ejdbwww.hawkular.orghive.apache.orgyaacomo.com
Technical documentationdocs.bangdb.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperSachin Sinha, BangDBSoftmotionsCommunity supported by Red HatApache Software Foundation infoinitially developed by FacebookQ2WEB GmbH
Initial release20122012201420122009
Current releaseBangDB 2.0, October 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoGPLv2Open Source infoApache 2.0Open Source infoApache Version 2commercial
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 languageC, C++CJavaJava
Server operating systemsLinuxserver-lessLinux
OS X
Windows
All OS with a Java VMAndroid
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infostring, integer, double, bool, date, object_idyesyesyes
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnonoyesyes
SQL infoSupport of SQLSQL like support with command line toolnonoSQL-like DML and DDL statementsyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
in-process shared libraryHTTP RESTJDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnononoyes infouser defined functions and integration of map-reduce
Triggersyes, Notifications (with Streaming only)noyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding infobased on CassandraShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneselectable replication factor infobased on Cassandraselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyes
User concepts infoAccess controlyes (enterprise version only)nonoAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
BangdbEJDBHawkular MetricsHiveYaacomo
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