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DBMS > Hive vs. Quasardb vs. QuestDB vs. RRDtool

System Properties Comparison Hive vs. Quasardb vs. QuestDB vs. RRDtool

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparisonRRDtool  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseA 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.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Score2.69
Rank#115  Overall
#8  Time Series DBMS
Score2.47
Rank#120  Overall
#10  Time Series DBMS
Websitehive.apache.orgquasar.aiquestdb.iooss.oetiker.ch/­rrdtool
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterquestdb.io/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookquasardbQuestDB Technology IncTobias Oetiker
Initial release2012200920141999
Current release3.1.3, April 20223.14.1, January 20241.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoGPL V2 and FLOSS
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 infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Windows
Linux
macOS
Windows
HP-UX
Linux
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesNumeric data only
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 indexesyesyes infowith tagsnono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL with time-series extensionsno
APIs and other access methodsJDBC
ODBC
Thrift
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
in-process shared library
Pipes
Supported programming languagesC++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with selectable replication factorSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailno
More information provided by the system vendor
HiveQuasardbQuestDBRRDtool
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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