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DBMS > Bangdb vs. HBase vs. QuestDB vs. STSdb

System Properties Comparison Bangdb vs. HBase vs. QuestDB vs. STSdb

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHBase  Xexclude from comparisonQuestDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphWide-column store based on Apache Hadoop and on concepts of BigTableA high performance open source SQL database for time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Wide column storeTime Series DBMSKey-value store
Secondary database modelsSpatial DBMSRelational 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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitebangdb.comhbase.apache.orgquestdb.iogithub.com/­STSSoft/­STSdb4
Technical documentationdocs.bangdb.comhbase.apache.org/­book.htmlquestdb.io/­docs
DeveloperSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by PowersetQuestDB Technology IncSTS Soft SC
Initial release2012200820142011
Current releaseBangDB 2.0, October 20212.3.4, January 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava (Zero-GC), C++, RustC#
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
Windows
Data schemeschema-freeschema-free, schema definition possibleyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsoptions to bring your own types, AVROyesyes infoprimitive types and user defined types (classes)
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, geospatialnonono
SQL infoSupport of SQLSQL like support with command line toolnoSQL with time-series extensionsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.NET Client API
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanono
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
Source-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 infothrough memory mapped files
User concepts infoAccess controlyes (enterprise version only)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno
More information provided by the system vendor
BangdbHBaseQuestDBSTSdb
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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