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DBMS > Apache Doris vs. Blueflood vs. Drizzle vs. EsgynDB vs. PouchDB

System Properties Comparison Apache Doris vs. Blueflood vs. Drizzle vs. EsgynDB vs. PouchDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonPouchDB  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 protocolScalable TimeSeries DBMS based on CassandraMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
blueflood.iowww.esgyn.cnpouchdb.com
Technical documentationgithub.com/­apache/­doris/­wikigithub.com/­rax-maas/­blueflood/­wikipouchdb.com/­guides
DeveloperApache Software Foundation, originally contributed from BaiduRackspaceDrizzle project, originally started by Brian AkerEsgynApache Software Foundation
Initial release20172013200820152012
Current release1.2.2, February 20237.2.4, September 20127.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGNU GPLcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++, JavaJavaScript
Server operating systemsLinuxLinux
OS X
FreeBSD
Linux
OS X
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyespredefined schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesnoyesyesyes infovia views
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsyesno
APIs and other access methodsJDBC
MySQL client
HTTP RESTJDBCADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJavaC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetJavaScript
Server-side scripts infoStored proceduresuser defined functionsnonoJava Stored ProceduresView functions in JavaScript
Triggersnonono infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandraShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardno

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More resources
Apache DorisBluefloodDrizzleEsgynDBPouchDB
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3 Reasons To Think Offline First
22 March 2017, ibm.com

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