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DBMS > Bangdb vs. EJDB vs. Prometheus vs. Sequoiadb vs. Spark SQL

System Properties Comparison Bangdb vs. EJDB vs. Prometheus vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEJDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
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)Open-source Time Series DBMS and monitoring systemNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeTime Series DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebangdb.comgithub.com/­Softmotions/­ejdbprometheus.iowww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.bangdb.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdprometheus.io/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSachin Sinha, BangDBSoftmotionsSequoiadb Ltd.Apache Software Foundation
Initial release20122012201520132014
Current releaseBangDB 2.0, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoGPLv2Open Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CGoC++Scala
Server operating systemsLinuxserver-lessLinux
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infostring, integer, double, bool, date, object_idNumeric data onlyyes infooid, date, timestamp, binary, regexyes
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 infoImport of XML data possiblenono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnonoyesno
SQL infoSupport of SQLSQL like support with command line toolnonoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
in-process shared libraryRESTful HTTP/JSON APIproprietary protocol using JSONJDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononoJavaScriptno
Triggersyes, Notifications (with Streaming only)nononono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneyes infoby FederationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglynoneEventual Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoDocument is locked during a transactionno
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 modenonono
User concepts infoAccess controlyes (enterprise version only)nonosimple password-based access controlno

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More resources
BangdbEJDBPrometheusSequoiadbSpark SQL
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