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DBMS > eXtremeDB vs. Fauna vs. FoundationDB vs. Microsoft Azure Cosmos DB vs. UniData,UniVerse

System Properties Comparison eXtremeDB vs. Fauna vs. FoundationDB vs. Microsoft Azure Cosmos DB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringFauna 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.Ordered key-value store. Core features are complimented by layers.Globally distributed, horizontally scalable, multi-model database serviceMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Graph DBMS
Key-value store
Wide column store
Multivalue DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.mcobject.comfauna.comgithub.com/­apple/­foundationdbazure.microsoft.com/­services/­cosmos-dbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.fauna.comapple.github.io/­foundationdblearn.microsoft.com/­azure/­cosmos-dbdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperMcObjectFauna, Inc.FoundationDBMicrosoftRocket Software
Initial release20012014201320141985
Current release8.2, 20216.2.28, November 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++ScalaC++C
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
OS X
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-free infosome layers support schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono infosome layers support typingyes infoJSON typesoptional
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.no infosupport of XML interfaces availableno
Secondary indexesyesyesnoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnosupported in specific SQL layer onlySQL-like query languageyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesuser defined functionsin SQL-layer onlyJavaScriptyes
Triggersyes infoby defining eventsnonoJavaScriptyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardinghorizontal partitioning infoconsistent hashingShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationyesyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityyesyesin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDMulti-item ACID transactions with snapshot isolation within a partitionACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlIdentity management, authentication, and access controlnoAccess rights can be defined down to the item levelAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
eXtremeDBFauna infopreviously named FaunaDBFoundationDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBUniData,UniVerse
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
eXtremeDBFauna infopreviously named FaunaDBFoundationDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBUniData,UniVerse
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