DBMS > H2GIS vs. Impala vs. Memcached

System Properties Comparison H2GIS vs. Impala vs. Memcached

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Editorial information provided by DB-Engines
Name	H2GIS  Xexclude from comparison	Impala  Xexclude from comparison	Memcached  Xexclude from comparison
Description	Spatial extension of H2	Analytic DBMS for Hadoop	In-memory key-value store, originally intended for caching
Primary database model	Spatial DBMS	Relational DBMS	Key-value store
Secondary database models	Relational DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.03 Rank #341   Overall #4   Spatial DBMS	Score 17.79 Rank #40   Overall #25   Relational DBMS	Score 24.56 Rank #33   Overall #4   Key-value stores
Website	www.h2gis.org	www.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html	www.memcached.org
Technical documentation	www.h2gis.org/­docs/­home	docs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html	github.com/­memcached/­memcached/­wiki
Developer	CNRS	Cloudera	Danga Interactive originally developed by Brad Fitzpatrick for LiveJournal
Initial release	2013	2013	2003
Current release		4.0.0, July 2021	1.6.15, March 2022
License Commercial or Open Source	Open Source LGPL 3.0	Open Source Apache Version 2	Open Source BSD license
Cloud-based only Only available as a cloud service	no	no	no
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Implementation language	Java	C++	C
Server operating systems		Linux	FreeBSD Linux OS X Unix Windows
Data scheme	yes	yes	schema-free
Typing predefined data types such as float or date	yes	yes	no
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
Secondary indexes	yes	yes	no
SQL Support of SQL	yes	SQL-like DML and DDL statements	no
APIs and other access methods		JDBC ODBC	Proprietary protocol
Supported programming languages	Java	All languages supporting JDBC/ODBC	.Net C C++ ColdFusion Erlang Java Lisp Lua OCaml Perl PHP Python Ruby
Server-side scripts Stored procedures	yes based on H2	yes user defined functions and integration of map-reduce	no
Triggers	yes	no	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes based on H2	selectable replication factor	none Repcached, a Memcached patch, provides this functionallity
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes query execution via MapReduce	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no
Concurrency Support for concurrent manipulation of data	yes, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	yes	yes	no
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no
User concepts Access control	yes based on H2	Access rights for users, groups and roles based on Apache Sentry and Kerberos	yes using SASL (Simple Authentication and Security Layer) protocol
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	H2GIS	Impala	Memcached
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