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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDataFS  Xexclude from comparisonDatomic  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 durabilityIn-memory key-value store, originally intended for caching
Primary database modelDocument store
Relational DBMS
Object oriented DBMSRelational DBMSKey-value store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websitewww.databricks.comnewdatabase.comwww.datomic.comwww.memcached.org
Technical documentationdocs.databricks.comdev.mobiland.com/­Overview.xspdocs.datomic.comgithub.com/­memcached/­memcached/­wiki
DeveloperDatabricksMobiland AGCognitectDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2013201820122003
Current release1.1.263, October 20221.0.7075, December 20231.6.27, May 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC
Server operating systemshostedWindowsAll OS with a Java VMFreeBSD
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-free
Typing infopredefined data types such as float or dateyesyesno
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.yesnono
Secondary indexesyesnoyesno
SQL infoSupport of SQLwith Databricks SQLnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIProprietary protocol
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
VB.Net
Clojure
Java
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsno
Triggersno, except callback-events from server when changes happenedBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)no
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 development
User concepts infoAccess controlWindows-Profilenoyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
DatabricksDataFSDatomicMemcached
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDataFSDatomicMemcached
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