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DBMS > HBase vs. QuestDB vs. RRDtool vs. STSdb

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

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonQuestDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA high performance open source SQL database for time series dataIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelWide column storeTime Series DBMSTime 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
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitehbase.apache.orgquestdb.iooss.oetiker.ch/­rrdtoolgithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmlquestdb.io/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetQuestDB Technology IncTobias OetikerSTS Soft SC
Initial release2008201419992011
Current release2.3.4, January 20211.8.0, 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoGPL V2 and FLOSSOpen 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 languageJavaJava (Zero-GC), C++, RustC infoImplementations in Java (e.g. RRD4J) and C# availableC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
HP-UX
Linux
Windows
Data schemeschema-free, schema definition possibleyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesNumeric data onlyyes 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 infoExporting into and restoring from XML files possible
Secondary indexesnononono
SQL infoSupport of SQLnoSQL with time-series extensionsnono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
in-process shared library
Pipes
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with eventual consistencynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID for single-table writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono
More information provided by the system vendor
HBaseQuestDBRRDtoolSTSdb
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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