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DBMS > Datomic vs. Google Cloud Firestore vs. Memgraph vs. Sequoiadb

System Properties Comparison Datomic vs. Google Cloud Firestore vs. Memgraph vs. Sequoiadb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMemgraph  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.An open source graph database built for real-time streaming and compatible with Neo4jNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSDocument storeGraph DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score8.96
Rank#48  Overall
#8  Document stores
Score3.00
Rank#102  Overall
#8  Graph DBMS
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websitewww.datomic.comfirebase.google.com/­products/­firestorememgraph.comwww.sequoiadb.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­firestorememgraph.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCognitectGoogleMemgraph LtdSequoiadb Ltd.
Initial release2012201720172013
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial infoFree license availableOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and C++C++
Server operating systemsAll OS with a Java VMhostedLinuxLinux
Data schemeyesschema-freeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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 indexesyesyesyes
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsRESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Bolt protocol
Cypher query language
proprietary protocol using JSON
Supported programming languagesClojure
Java
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, Firebase Rules & Cloud FunctionsJavaScript
TriggersBy using transaction functionsyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infowith snapshot isolationDocument is locked during a transaction
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 changesyes
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 developmentyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissionssimple password-based access control
More information provided by the system vendor
DatomicGoogle Cloud FirestoreMemgraphSequoiadb
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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DatomicGoogle Cloud FirestoreMemgraphSequoiadb
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