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DBMS > eXtremeDB vs. Fauna vs. Snowflake vs. Yaacomo

System Properties Comparison eXtremeDB vs. Fauna vs. Snowflake vs. Yaacomo

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonSnowflake  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines 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.Cloud-based data warehousing service for structured and semi-structured dataOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational 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
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.mcobject.comfauna.comwww.snowflake.comyaacomo.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.fauna.comdocs.snowflake.net/­manuals/­index.html
DeveloperMcObjectFauna, Inc.Snowflake Computing Inc.Q2WEB GmbH
Initial release2001201420142009
Current release8.2, 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Scala
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedhostedAndroid
Linux
Windows
Data schemeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesnoyesyes
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 availablenoyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoyesyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APICLI Client
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions
Triggersyes infoby defining eventsnono infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardinghorizontal partitioning infoconsistent hashingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlIdentity management, authentication, and access controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBFauna infopreviously named FaunaDBSnowflakeYaacomo
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,...
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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...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
eXtremeDBFauna infopreviously named FaunaDBSnowflakeYaacomo
DB-Engines blog posts

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Recent citations in the news

McObject Announces the Release of eXtremeDB/rt 1.2
23 May 2023, Embedded Computing Design

McObject Offers eXtremeDB 8.3 for Incremental Improvements and New Platforms
11 November 2022, Automation.com

With eXtremeDB Database, Spreadbrokers Targets Real-Time Trading
27 March 2012, GlobeNewswire

Latest embedded DBMS supports asymmetric multiprocessing systems
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21 March 2024, GlobeNewswire

Fauna Adds Transformative Schema-as-Code Capabilities to Enterprise Proven, Document-Relational Database
15 November 2023, Business Wire

Utah Natural Heritage Program
17 October 2023, Utah Division of Wildlife Resources

Fauna Query Language tamed to appeal to developers
22 August 2023, The Register

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24 April 2024, Datanami

What Is Snowflake Data Warehouse? A Tutorial
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