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DBMS > Alibaba Cloud PolarDB vs. Apache Druid vs. Hive vs. QuestDB

System Properties Comparison Alibaba Cloud PolarDB vs. Apache Druid vs. Hive vs. QuestDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonApache Druid  Xexclude from comparisonHive  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality datadata warehouse software for querying and managing large distributed datasets, built on HadoopA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#241  Overall
#110  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.alibabacloud.com/­product/­polardbdruid.apache.orghive.apache.orgquestdb.io
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdruid.apache.org/­docs/­latest/­designcwiki.apache.org/­confluence/­display/­Hive/­Homequestdb.io/­docs
DeveloperAlibabaApache Software Foundation and contributorsApache Software Foundation infoinitially developed by FacebookQuestDB Technology Inc
Initial release201220122014
Current release29.0.1, April 20243.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava (Zero-GC), C++, Rust
Server operating systemshostedLinux
OS X
Unix
All OS with a Java VMLinux
macOS
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL for queryingSQL-like DML and DDL statementsSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesJava
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesselectable replication factorSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles
More information provided by the system vendor
Alibaba Cloud PolarDBApache DruidHiveQuestDB
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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Relational model with native time series support Column-based storage and time partitioned...
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Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
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High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
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Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
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Financial tick data Industrial IoT Application Metrics Monitoring
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Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
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Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
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Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
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