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DBMS > Databricks vs. FileMaker vs. Google Cloud Datastore vs. Interbase vs. Oracle Coherence

System Properties Comparison Databricks vs. FileMaker vs. Google Cloud Datastore vs. Interbase vs. Oracle Coherence

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterbase  Xexclude from comparisonOracle Coherence  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformLight-weight proven RDBMS infooriginally from BorlandOracles in-memory data grid solution
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeRelational 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
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitewww.databricks.comwww.claris.com/­filemakercloud.google.com/­datastorewww.embarcadero.com/­products/­interbasewww.oracle.com/­java/­coherence
Technical documentationdocs.databricks.comwww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsdocs.embarcadero.com/­products/­interbasedocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDatabricksClaris infoa subsidiary of AppleGoogleEmbarcaderoOracle
Initial release20131983200819842007
Current release19.4.1, November 2021InterBase 2020, December 201914.1, August 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
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 languageCJava
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
hostedAndroid
iOS
Linux
OS X
Windows
All OS with a Java VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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.yesyes infoA http query request can return the data in XML formatnono infoexport as XML data possibleno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyes infovia pluginsSQL-like query language (GQL)yesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
JCache
JPA
RESTful HTTP API
Supported programming languagesPython
R
Scala
PHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesusing Google App Engineyes infoInterbase procedure and trigger languageno
TriggersyesCallbacks using the Google Apps Engineyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14Multi-source replication using PaxosInterbase Change Viewsyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
DatabricksFileMakerGoogle Cloud DatastoreInterbaseOracle Coherence
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFileMakerGoogle Cloud DatastoreInterbaseOracle Coherence
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