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DBMS > Datomic vs. Memgraph vs. Valentina Server vs. YugabyteDB

System Properties Comparison Datomic vs. Memgraph vs. Valentina Server vs. YugabyteDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMemgraph  Xexclude from comparisonValentina Server  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source graph database built for real-time streaming and compatible with Neo4jObject-relational database and reports serverHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score2.91
Rank#94  Overall
#7  Graph DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Score2.48
Rank#108  Overall
#53  Relational DBMS
Websitewww.datomic.commemgraph.comwww.valentina-db.netwww.yugabyte.com
Technical documentationdocs.datomic.commemgraph.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCognitectMemgraph LtdParadigma SoftwareYugabyte Inc.
Initial release2012201719992017
Current release1.0.7180, July 20245.7.52.19, September 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJava, ClojureC and C++C and C++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
Linux
OS X
Data schemeyesschema-free and schema-optionalyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyesyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP APIBolt protocol
Cypher query language
ODBCJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesClojure
Java
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infosql, plpgsql, C
TriggersBy using transaction functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infodynamic graph partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication using RAFTBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolationDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes infobased on RocksDB
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 developmentyesyesno
User concepts infoAccess controlnoUsers, roles and permissionsfine grained access rights according to SQL-standardyes
More information provided by the system vendor
DatomicMemgraphValentina ServerYugabyteDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
Apache 2.0 license for the database
» more

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More resources
DatomicMemgraphValentina ServerYugabyteDB
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