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DBMS > Bangdb vs. Blueflood vs. Kinetica vs. Rockset vs. Spark SQL

System Properties Comparison Bangdb vs. Blueflood vs. Kinetica vs. Rockset vs. Spark SQL

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBlueflood  Xexclude from comparisonKinetica  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable TimeSeries DBMS based on CassandraFully vectorized database across both GPUs and CPUsA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Relational DBMS
Search engine
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
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebangdb.comblueflood.iowww.kinetica.comrockset.comspark.apache.org/­sql
Technical documentationdocs.bangdb.comgithub.com/­rax-maas/­blueflood/­wikidocs.kinetica.comdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSachin Sinha, BangDBRackspaceKineticaRocksetApache Software Foundation
Initial release20122013201220192014
Current releaseBangDB 2.0, October 20217.1, August 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC, C++C++Scala
Server operating systemsLinuxLinux
OS X
LinuxhostedLinux
OS X
Windows
Data schemeschema-freepredefined schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesdynamic typingyes
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.nononono infoingestion from XML files supportedno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesall fields are automatically indexedno
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like DML and DDL statementsRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP RESTJDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersyes, Notifications (with Streaming only)noyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on CassandraShardingAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on CassandraSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
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 infoGPU vRAM or System RAMno
User concepts infoAccess controlyes (enterprise version only)noAccess rights for users and roles on table levelAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
BangdbBluefloodKineticaRocksetSpark SQL
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