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DBMS > Datomic vs. Drizzle vs. Memgraph vs. openGauss vs. RisingWave

System Properties Comparison Datomic vs. Drizzle vs. Memgraph vs. openGauss vs. RisingWave

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonMemgraph  Xexclude from comparisonopenGauss  Xexclude from comparisonRisingWave  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.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source graph database built for real-time streaming and compatible with Neo4jAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.datomic.commemgraph.comgitee.com/­opengauss
opengauss.org
www.risingwave.com/­database
Technical documentationdocs.datomic.commemgraph.com/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.risingwave.com/­docs/­current/­intro
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCognitectDrizzle project, originally started by Brian AkerMemgraph LtdHuawei and openGauss communityRisingWave Labs
Initial release20122008201720192022
Current release1.0.6735, June 20237.2.4, September 20123.0, March 20221.2, September 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C and C++C, C++, JavaRust
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
LinuxLinuxDocker
Linux
macOS
Data schemeyesyesschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesyesyesStandard SQL-types and JSON
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoANSI SQL 2011yes
APIs and other access methodsRESTful HTTP APIJDBCBolt protocol
Cypher query language
JDBC
ODBC
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
Java
C
C++
Java
PHP
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Java
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoyesUDFs in Python or Java
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infodynamic graph partitioninghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnoyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsAccess rights for users, groups and roles according to SQL-standardUsers and Roles
More information provided by the system vendor
DatomicDrizzleMemgraphopenGaussRisingWave
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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DatomicDrizzleMemgraphopenGaussRisingWave
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