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DBMS > Apache Doris vs. Databricks vs. Drizzle vs. EsgynDB vs. Firebase Realtime Database

System Properties Comparison Apache Doris vs. Databricks vs. Drizzle vs. EsgynDB vs. Firebase Realtime Database

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonFirebase Realtime Database  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 protocolThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
www.databricks.comwww.esgyn.cnfirebase.google.com/­products/­realtime-database
Technical documentationgithub.com/­apache/­doris/­wikidocs.databricks.comfirebase.google.com/­docs/­database
DeveloperApache Software Foundation, originally contributed from BaiduDatabricksDrizzle project, originally started by Brian AkerEsgynGoogle infoacquired by Google 2014
Initial release20172013200820152012
Current release1.2.2, February 20237.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Linuxhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
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.noyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyeswith Databricks SQLyes infowith proprietary extensionsyesno
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
JDBCADO.NET
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJavaPython
R
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetJava
JavaScript
Objective-C
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesnoJava Stored Procedureslimited functionality with using 'rules'
Triggersnono infohooks for callbacks inside the server can be used.noCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
Multi-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyes, based on authentication and database rules
More information provided by the system vendor
Apache DorisDatabricksDrizzleEsgynDBFirebase Realtime Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DorisDatabricksDrizzleEsgynDBFirebase Realtime Database
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