DBMS > AgensGraph vs. Geode vs. SingleStore vs. SWC-DB

System Properties Comparison AgensGraph vs. Geode vs. SingleStore vs. SWC-DB

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Editorial information provided by DB-Engines
Name	AgensGraph  Xexclude from comparison	Geode  Xexclude from comparison	SingleStore former name was MemSQL  Xexclude from comparison	SWC-DB Super Wide Column Database  Xexclude from comparison
Description	Multi-model database supporting relational and graph data models and built upon PostgreSQL	Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes	MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type	A high performance, scalable Wide Column DBMS
Primary database model	Graph DBMS Relational DBMS	Key-value store	Relational DBMS	Wide column store
Secondary database models			Document store Spatial DBMS Time Series DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.09 Rank #320   Overall #31   Graph DBMS #145   Relational DBMS	Score 1.70 Rank #137   Overall #26   Key-value stores	Score 6.66 Rank #63   Overall #36   Relational DBMS	Score 0.06 Rank #330   Overall #13   Wide column stores
Website	bitnine.net	geode.apache.org	www.singlestore.com	github.com/­kashirin-alex/­swc-db www.swcdb.org
Technical documentation	bitnine.net/­documentation	geode.apache.org/­docs	docs.singlestore.com
Developer	Bitnine Global Inc.	Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.	SingleStore Inc.	Alex Kashirin
Initial release	2016	2002	2013	2020
Current release	2.1, December 2018	1.1, February 2017	7.6, November 2021	0.5, April 2021
License Commercial or Open Source	Open Source Apache License 2.0	Open Source Apache Version 2; commercial licenses available as Gemfire	commercial free developer edition available	Open Source GPL V3
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	C	Java	C++, Go	C++
Server operating systems	Linux OS X Windows	All OS with a Java VM the JDK (8 or later) is also required	Linux 64 bit version required	Linux
Data scheme	depending on used data model	schema-free	yes	schema-free
Typing predefined data types such as float or date	yes	yes	yes
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	no
Secondary indexes	yes	no	yes
SQL Support of SQL	yes	SQL-like query language (OQL)	yes but no triggers and foreign keys	SQL-like query language
APIs and other access methods	Cypher Query Language JDBC	Java Client API Memcached protocol RESTful HTTP API	Cluster Management API as HTTP Rest and CLI HTTP API JDBC ODBC	Proprietary protocol Thrift
Supported programming languages	C Java JavaScript Python	.Net All JVM based languages C++ Groovy Java Scala	Bash C C# Java JavaScript (Node.js) Python	C++
Server-side scripts Stored procedures	yes	user defined functions	yes	no
Triggers	no	yes Cache Event Listeners	no	no
Partitioning methods Methods for storing different data on different nodes	no, but can be realized using table inheritance	Sharding	Sharding hash partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	Multi-source replication	Source-replica replication stores two copies of each physical data partition on two separate nodes
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no can define user-defined aggregate functions for map-reduce-style calculations	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	yes, on a single node	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes, multi-version concurrency control (MVCC)	yes
Durability Support for making data persistent	yes	yes	yes All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	yes	no
User concepts Access control	fine grained access rights according to SQL-standard	Access rights per client and object definable	Fine grained access control via users, groups and roles
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	AgensGraph	Geode	SingleStore former name was MemSQL	SWC-DB Super Wide Column Database
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