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DBMS > HBase vs. KeyDB vs. QuestDB vs. STSdb

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

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonKeyDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA 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 modelWide column storeKey-value storeTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.80
Rank#219  Overall
#31  Key-value stores
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitehbase.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
questdb.iogithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmldocs.keydb.devquestdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetEQ Alpha Technology Ltd.QuestDB Technology IncSTS Soft SC
Initial release2008201920142011
Current release2.3.4, January 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSD-3Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java (Zero-GC), C++, RustC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxLinux
macOS
Windows
Windows
Data schemeschema-free, schema definition possibleschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROpartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes 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 indexesnoyes infoby using the Redis Search modulenono
SQL infoSupport of SQLnonoSQL with time-series extensionsno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaLuanono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)Optimistic locking, atomic execution of commands blocks and scriptsACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped files
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple password-based access control and ACLno
More information provided by the system vendor
HBaseKeyDBQuestDBSTSdb
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HBaseKeyDBQuestDBSTSdb
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