DBMS > Apache Doris vs. Dragonfly vs. HarperDB
System Properties Comparison Apache Doris vs. Dragonfly vs. HarperDB
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|Editorial information provided by DB-Engines|
|Name||Apache Doris Xexclude from comparison||Dragonfly Xexclude from comparison||HarperDB Xexclude from comparison|
|Description||An MPP-based analytics DBMS embracing the MySQL protocol||A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance||Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.|
|Primary database model||Relational DBMS||Key-value store||Document store|
|Developer||Apache Software Foundation, originally contributed from Baidu||DragonflyDB team and community contributors||HarperDB|
|Current release||1.2.2, February 2023||1.0, March 2023||3.1, August 2021|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source BSL 1.1||commercial free community edition available|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||Linux||Linux||Linux|
|Data scheme||yes||scheme-free||dynamic schema|
|Typing predefined data types such as float or date||yes||strings, hashes, lists, sets, sorted sets, bit arrays||yes JSON data types|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||no|
|SQL Support of SQL||yes||no||SQL-like data manipulation statements|
|APIs and other access methods||JDBC|
|Proprietary protocol RESP - REdis Serialization Protocol||JDBC|
RESTful HTTP/JSON API
|Supported programming languages||Java||C|
|Server-side scripts Stored procedures||user defined functions||Lua||Custom Functions since release 3.1|
|Triggers||no||publish/subscribe channels provide some trigger functionality||no|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning||A table resides as a whole on one (or more) nodes in a cluster|
|Replication methods Methods for redundantly storing data on multiple nodes||none||Source-replica replication||yes the nodes on which a table resides can be defined|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic execution of command blocks and scripts||Atomic execution of specific operations|
|Concurrency Support for concurrent manipulation of data||yes||yes, strict serializability by the server||yes|
|Durability Support for making data persistent||yes||yes||yes, using LMDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||Password-based authentication||Access rights for users and roles|
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