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DBMS > Fauna vs. Fujitsu Enterprise Postgres vs. IBM Db2 Event Store

System Properties Comparison Fauna vs. Fujitsu Enterprise Postgres vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionFauna 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.Distributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSEvent Store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitefauna.comwww.postgresql.fastware.comwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.fauna.comwww.postgresql.fastware.com/­product-manualswww.ibm.com/­docs/­en/­db2-event-store
DeveloperFauna, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyIBM
Initial release20142017
Current releaseFujitsu Enterprise Postgres 14, January 20222.0
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaCC and C++
Server operating systemshostedLinux
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtime
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)No - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlIdentity management, authentication, and access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Fauna infopreviously named FaunaDBFujitsu Enterprise PostgresIBM Db2 Event Store
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Fauna infopreviously named FaunaDBFujitsu Enterprise PostgresIBM Db2 Event Store
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