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DBMS > Databricks vs. Datomic vs. FoundationDB vs. H2

System Properties Comparison Databricks vs. Datomic vs. FoundationDB vs. H2

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the 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 durabilityOrdered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsSpatial DBMS
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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Websitewww.databricks.comwww.datomic.comgithub.com/­apple/­foundationdbwww.h2database.com
Technical documentationdocs.databricks.comdocs.datomic.comapple.github.io/­foundationdbwww.h2database.com/­html/­main.html
DeveloperDatabricksCognitectFoundationDBThomas Mueller
Initial release2013201220132005
Current release1.0.7075, December 20236.2.28, November 20202.2.220, July 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
All OS with a Java VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes
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 indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnosupported in specific SQL layer onlyyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesPython
R
Scala
Clojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsin SQL-layer onlyJava Stored Procedures and User-Defined Functions
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 controlnonofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDatomicFoundationDBH2
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDatomicFoundationDBH2
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