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DBMS > Apache Doris vs. Apache Phoenix vs. Drizzle vs. EsgynDB vs. QuestDB

System Properties Comparison Apache Doris vs. Apache Phoenix vs. Drizzle vs. EsgynDB vs. QuestDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonQuestDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA scale-out RDBMS with evolutionary schema built on Apache HBaseMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
phoenix.apache.orgwww.esgyn.cnquestdb.io
Technical documentationgithub.com/­apache/­doris/­wikiphoenix.apache.orgquestdb.io/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software FoundationDrizzle project, originally started by Brian AkerEsgynQuestDB Technology Inc
Initial release20172014200820152014
Current release1.2.2, February 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20197.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++, JavaJava (Zero-GC), C++, Rust
Server operating systemsLinuxLinux
Unix
Windows
FreeBSD
Linux
OS X
LinuxLinux
macOS
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesyes infowith proprietary extensionsyesSQL with time-series extensions
APIs and other access methodsJDBC
MySQL client
JDBCJDBCADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesJavaC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoJava Stored Proceduresno
Triggersnonono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication between multi datacentersSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisApache PhoenixDrizzleEsgynDBQuestDB
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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More resources
Apache DorisApache PhoenixDrizzleEsgynDBQuestDB
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