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DBMS > Databricks vs. DataFS vs. Datomic vs. Fauna vs. Memcached

System Properties Comparison Databricks vs. DataFS vs. Datomic vs. Fauna vs. Memcached

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Datomic 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.In-memory key-value store, originally intended for caching
Primary database modelDocument store
Relational DBMS
Object oriented DBMSRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitewww.databricks.comnewdatabase.comwww.datomic.comfauna.comwww.memcached.org
Technical documentationdocs.databricks.comdev.mobiland.com/­Overview.xspdocs.datomic.comdocs.fauna.comgithub.com/­memcached/­memcached/­wiki
DeveloperDatabricksMobiland AGCognitectFauna, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20132018201220142003
Current release1.1.263, October 20221.0.6735, June 20231.6.27, May 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freecommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureScalaC
Server operating systemshostedWindowsAll OS with a Java VMhostedFreeBSD
Linux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.yesnonono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLwith Databricks SQLnononono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIRESTful HTTP APIProprietary protocol
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
VB.Net
Clojure
Java
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsuser defined functionsno
Triggersno, except callback-events from server when changes happenedBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peershorizontal partitioning infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersMulti-source replicationnone infoRepcached, a Memcached patch, provides this functionallity
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 integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentno
User concepts infoAccess controlWindows-ProfilenoIdentity management, authentication, and access controlyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
DatabricksDataFSDatomicFauna infopreviously named FaunaDBMemcached
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDataFSDatomicFauna infopreviously named FaunaDBMemcached
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