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DBMS > Databricks vs. Teradata vs. YTsaurus

System Properties Comparison Databricks vs. Teradata vs. YTsaurus

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonTeradata  Xexclude from comparisonYTsaurus  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.A hybrid cloud data analytics software platform (Teradata Vantage)YTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Key-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score96.01
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score34.04
Rank#23  Overall
#16  Relational DBMS
Score0.23
Rank#301  Overall
#45  Document stores
#44  Key-value stores
Websitewww.databricks.comwww.teradata.comytsaurus.tech
Technical documentationdocs.databricks.comdocs.teradata.comytsaurus.tech/­docs/­en
DeveloperDatabricksTeradataYandex
Initial release201319842023
Current releaseTeradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhosted
Linux
Ubuntu
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
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.yesyesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLwith Databricks SQLyes infoSQL 2016 + extensionsYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesPython
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoUDFs, stored procedures, table functions in parallel
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
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 persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists

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DatabricksTeradataYTsaurus
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