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DBMS > Databricks vs. Datomic vs. Lovefield

System Properties Comparison Databricks vs. Datomic vs. Lovefield

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonLovefield  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 durabilityEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.databricks.comwww.datomic.comgoogle.github.io/­lovefield
Technical documentationdocs.databricks.comdocs.datomic.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDatabricksCognitectGoogle
Initial release201320122014
Current release1.0.6735, June 20232.1.12, February 2017
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaScript
Server operating systemshostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesPython
R
Scala
Clojure
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsno
TriggersBy using transaction functionsUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnone 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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, by using IndexedDB or the cloud service Firebase Realtime Database
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 infousing MemoryDB
User concepts infoAccess controlnono
More information provided by the system vendor
DatabricksDatomicLovefield
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDatomicLovefield
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