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DBMS > Bangdb vs. EXASOL vs. Quasardb vs. Vitess

System Properties Comparison Bangdb vs. EXASOL vs. Quasardb vs. Vitess

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEXASOL  Xexclude from comparisonQuasardb  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Distributed, high-performance timeseries databaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitebangdb.comwww.exasol.comquasar.aivitess.io
Technical documentationdocs.bangdb.comwww.exasol.com/­resourcesdoc.quasar.ai/­mastervitess.io/­docs
DeveloperSachin Sinha, BangDBExasolquasardbThe Linux Foundation, PlanetScale
Initial release2012200020092013
Current releaseBangDB 2.0, October 20213.14.1, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++Go
Server operating systemsLinuxBSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infointeger and binaryyes
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, geospatialyesyes infowith tagsyes
SQL infoSupport of SQLSQL like support with command line toolyesSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsProprietary protocol
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Java
Python
Java
Lua
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoproprietary syntax
Triggersyes, Notifications (with Streaming only)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoby using LevelDByes
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 modeyesyes infoTransient modeyes
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and roles according to SQL-standardCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept infono user groups or roles

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More resources
BangdbEXASOLQuasardbVitess
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