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DBMS > Databricks vs. Datomic vs. Interbase vs. Memcached

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonInterbase  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 durabilityLight-weight proven RDBMS infooriginally from BorlandIn-memory key-value store, originally intended for caching
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value 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
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websitewww.databricks.comwww.datomic.comwww.embarcadero.com/­products/­interbasewww.memcached.org
Technical documentationdocs.databricks.comdocs.datomic.comdocs.embarcadero.com/­products/­interbasegithub.com/­memcached/­memcached/­wiki
DeveloperDatabricksCognitectEmbarcaderoDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2013201219842003
Current release1.0.7075, December 2023InterBase 2020, December 20191.6.27, May 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen 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, ClojureCC
Server operating systemshostedAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-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 infoexport as XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesPython
R
Scala
Clojure
Java
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyes infoInterbase procedure and trigger languageno
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersInterbase Change Viewsnone 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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyes 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.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
DatabricksDatomicInterbaseMemcached
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDatomicInterbaseMemcached
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