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DBMS > Databricks vs. FoundationDB vs. Rockset vs. Teradata

System Properties Comparison Databricks vs. FoundationDB vs. Rockset vs. Teradata

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFoundationDB  Xexclude from comparisonRockset  Xexclude from comparisonTeradata  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Ordered key-value store. Core features are complimented by layers.A scalable, reliable search and analytics service in the cloud, built on RocksDBA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Time Series 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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.databricks.comgithub.com/­apple/­foundationdbrockset.comwww.teradata.com
Technical documentationdocs.databricks.comapple.github.io/­foundationdbdocs.rockset.comdocs.teradata.com
DeveloperDatabricksFoundationDBRocksetTeradata
Initial release2013201320191984
Current release6.2.28, November 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinux
OS X
Windows
hostedhosted
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingdynamic 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.yesno infoingestion from XML files supportedyes
Secondary indexesyesnoall fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLwith Databricks SQLsupported in specific SQL layer onlyRead-only SQL queries, including JOINsyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesPython
R
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesin SQL-layer onlynoyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksFoundationDBRocksetTeradata
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFoundationDBRocksetTeradata
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