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

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

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonFileMaker  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.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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.In-memory key-value store, originally intended for caching
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational 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
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitewww.databricks.comwww.datomic.comfauna.comwww.claris.com/­filemakerwww.memcached.org
Technical documentationdocs.databricks.comdocs.datomic.comdocs.fauna.comwww.claris.com/­resources/­documentationgithub.com/­memcached/­memcached/­wiki
DeveloperDatabricksCognitectFauna, Inc.Claris infoa subsidiary of AppleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20132012201419832003
Current release1.0.6735, June 202319.4.1, November 20211.6.27, May 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureScalaC
Server operating systemshostedAll OS with a Java VMhostediOS infoclient part only
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.yesnonoyes infoA http query request can return the data in XML format
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnonoyes infovia pluginsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
Proprietary protocol
Supported programming languagesPython
R
Scala
Clojure
Java
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
PHP.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 functionsyesno
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning infoconsistent hashingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersMulti-source replicationSource-replica replication, warm standby infosince Version 14none 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 Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlnoIdentity management, authentication, and access controlsimple rights management via user accounts and connection to external directory servicesyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
DatabricksDatomicFauna infopreviously named FaunaDBFileMakerMemcached
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDatomicFauna infopreviously named FaunaDBFileMakerMemcached
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