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DBMS > Apache Doris vs. Databend vs. Drizzle vs. EsgynDB vs. FeatureBase

System Properties Comparison Apache Doris vs. Databend vs. Drizzle vs. EsgynDB vs. FeatureBase

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabend  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonFeatureBase  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 protocolAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­datafuselabs/­databend
www.databend.com
www.esgyn.cnwww.featurebase.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.databend.comdocs.featurebase.com
DeveloperApache Software Foundation, originally contributed from BaiduDatabend LabsDrizzle project, originally started by Brian AkerEsgynMolecula and Pilosa Open Source Contributors
Initial release20172021200820152017
Current release1.2.2, February 20231.0.59, April 20237.2.4, September 20122022, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustC++C++, JavaGo
Server operating systemsLinuxhosted
Linux
macOS
FreeBSD
Linux
OS X
LinuxLinux
macOS
Data schemeyesyesyesyesyes
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 indexesyesnoyesyesno
SQL infoSupport of SQLyesyesyes infowith proprietary extensionsyesSQL queries
APIs and other access methodsJDBC
MySQL client
CLI Client
JDBC
RESTful HTTP API
JDBCADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetJava
Python
Server-side scripts infoStored proceduresuser defined functionsnonoJava Stored Procedures
Triggersnonono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, using Linux fsync
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Apache DorisDatabendDrizzleEsgynDBFeatureBase
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