DBMS > etcd vs. H2 vs. HarperDB
System Properties Comparison etcd vs. H2 vs. HarperDB
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|Editorial information provided by DB-Engines|
|Name||etcd Xexclude from comparison||H2 Xexclude from comparison||HarperDB Xexclude from comparison|
|Description||A distributed reliable key-value store||Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.||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||Key-value store||Relational DBMS||Document store|
|Secondary database models||Spatial DBMS|
|Current release||3.4, August 2019||2.1.210, January 2022||3.1, August 2021|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source dual-licence (Mozilla public license, Eclipse public license)||commercial free community edition available|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||FreeBSD|
|All OS with a Java VM||Linux|
|Data scheme||schema-free||yes||dynamic schema|
|Typing predefined data types such as float or date||no||yes||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||no||yes||SQL-like data manipulation statements|
|APIs and other access methods||gRPC|
JSON over HTTP
RESTful HTTP/JSON API
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||Java Stored Procedures and User-Defined Functions||Custom Functions since release 3.1|
|Triggers||yes, watching key changes||yes||no|
|Partitioning methods Methods for storing different data on different nodes||none||A table resides as a whole on one (or more) nodes in a cluster|
|Replication methods Methods for redundantly storing data on multiple nodes||Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.||With clustering: 2 database servers on different computers operate on identical copies of a database||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||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||Atomic execution of specific operations|
|Concurrency Support for concurrent manipulation of data||yes||yes, multi-version concurrency control (MVCC)||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||no||fine grained access rights according to SQL-standard||Access rights for users and roles|
|More information provided by the system vendor|
|Specific characteristics||HarperDB is the first distributed database with hybrid SQL & NoSQL functionality...|
|Competitive advantages||By combining the functionality of the best SQL, NoSQL, and NewSQL products on the...|
|Typical application scenarios||Use cases where HarperDB is a better fit than other solutions include: Rapid app...|
|Key customers||A few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....|
|Market metrics||Over 94K total HarperDB users : 16,500+ npm downloads 73,600+ on Docker Hub 4,200+...|
|Licensing and pricing models||HarperDB follows a freemium/premium model . A data base is only as powerful as it...|
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