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DBMS > Bangdb vs. Databricks vs. Heroic vs. Kinetica vs. OpenQM

System Properties Comparison Bangdb vs. Databricks vs. Heroic vs. Kinetica vs. OpenQM

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatabricks  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Relational DBMS
Time Series DBMSRelational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#347  Overall
#48  Document stores
#36  Graph DBMS
#31  Time Series DBMS
Score86.46
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.02
Rank#368  Overall
#38  Time Series DBMS
Score0.42
Rank#257  Overall
#120  Relational DBMS
Score0.26
Rank#293  Overall
#10  Multivalue DBMS
Websitebangdb.comwww.databricks.comgithub.com/­spotify/­heroicwww.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.bangdb.comdocs.databricks.comspotify.github.io/­heroicdocs.kinetica.com
DeveloperSachin Sinha, BangDBDatabricksSpotifyKineticaRocket Software, originally Martin Phillips
Initial release20122013201420121993
Current releaseBangDB 2.0, October 20217.1, August 20213.4-12
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC, C++
Server operating systemsLinuxhostedLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes
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.noyesnonoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL like support with command line toolwith Databricks SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnouser defined functionsyes
Triggersyes, Notifications (with Streaming only)noyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
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 modenonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlyes (enterprise version only)Access rights for users and roles on table levelAccess rights can be defined down to the item level
More information provided by the system vendor
BangdbDatabricksHeroicKineticaOpenQM infoalso called QM
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BangdbDatabricksHeroicKineticaOpenQM infoalso called QM
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