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DBMS > Apache Doris vs. Drizzle vs. EsgynDB vs. SQL.JS vs. TimescaleDB

System Properties Comparison Apache Doris vs. Drizzle vs. EsgynDB vs. SQL.JS vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonSQL.JS  Xexclude from comparisonTimescaleDB  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 protocolMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionPort of SQLite to JavaScriptA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.esgyn.cnsql.js.orgwww.timescale.com
Technical documentationgithub.com/­apache/­doris/­wikisql.js.org/­documentation/­index.htmldocs.timescale.com
DeveloperApache Software Foundation, originally contributed from BaiduDrizzle project, originally started by Brian AkerEsgynAlon Zakai infoenhancements implemented by othersTimescale
Initial release20172008201520122017
Current release1.2.2, February 20237.2.4, September 20122.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen SourceOpen 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 languageJavaC++C++, JavaJavaScriptC
Server operating systemsLinuxFreeBSD
Linux
OS X
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesyes infoSQL-92 is not fully supportedyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
MySQL client
JDBCADO.NET
JDBC
ODBC
JavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetJavaScript.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnono infohooks for callbacks inside the server can be used.nonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Apache DorisDrizzleEsgynDBSQL.JSTimescaleDB
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