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DBMS > Datomic vs. Fauna vs. Fujitsu Enterprise Postgres vs. NSDb

System Properties Comparison Datomic vs. Fauna vs. Fujitsu Enterprise Postgres vs. NSDb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.datomic.comfauna.comwww.postgresql.fastware.comnsdb.io
Technical documentationdocs.datomic.comdocs.fauna.comwww.postgresql.fastware.com/­product-manualsnsdb.io/­Architecture
DeveloperCognitectFauna, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release201220142017
Current release1.0.7075, December 2023Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureScalaCJava, Scala
Server operating systemsAll OS with a Java VMhostedLinux
Windows
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes: int, bigint, decimal, string
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 indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsuser defined functionsno
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning infoconsistent hashingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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)yesyesUsing Apache Lucene
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 developmentno
User concepts infoAccess controlnoIdentity management, authentication, and access controlfine grained access rights according to SQL-standard

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More resources
DatomicFauna infopreviously named FaunaDBFujitsu Enterprise PostgresNSDb
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