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DBMS > Databricks vs. Datomic vs. FileMaker vs. InterSystems Caché vs. Raima Database Manager

System Properties Comparison Databricks vs. Datomic vs. FileMaker vs. InterSystems Caché vs. Raima Database Manager

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonFileMaker  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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 durabilityFileMaker is a cross-platform RDBMS that includes a GUI frontend.A multi-model DBMS and application serverRDBMS with a small footprint, either embedded into an application or used as a database server
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.49
Rank#259  Overall
#121  Relational DBMS
#21  Time Series DBMS
Websitewww.databricks.comwww.datomic.comwww.claris.com/­filemakerwww.intersystems.com/­products/­cacheraima.com
Technical documentationdocs.databricks.comdocs.datomic.comwww.claris.com/­resources/­documentationdocs.intersystems.comdocs.raima.com
DeveloperDatabricksCognitectClaris infoa subsidiary of AppleInterSystemsRaima Inc.
Initial release20132012198319971984
Current release1.0.7075, December 202319.4.1, November 20212018.1.4, May 202015, June 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC
Server operating systemshostedAll OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyes infoA http query request can return the data in XML formatyesno infoExporting/Importing of XML structures possible
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes infovia pluginsyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
Clojure
Java
PHPC#
C++
Java
.Net
C
C++
Objective-C
PL/SQL
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyesyesyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
TriggersBy using transaction functionsyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replication, warm standby infosince Version 14Source-replica replicationSource-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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesno
More information provided by the system vendor
DatabricksDatomicFileMakerInterSystems CachéRaima Database Manager infoformerly named db_Vista
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
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Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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