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DBMS > Databricks vs. EDB Postgres vs. YTsaurus

System Properties Comparison Databricks vs. EDB Postgres vs. YTsaurus

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEDB Postgres  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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.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
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score1.62
Rank#137  Overall
#61  Relational DBMS
Score0.22
Rank#306  Overall
#45  Document stores
#45  Key-value stores
Websitewww.databricks.comwww.enterprisedb.comytsaurus.tech
Technical documentationdocs.databricks.comwww.enterprisedb.com/­docsytsaurus.tech/­docs/­en
DeveloperDatabricksEnterpriseDBYandex
Initial release201320052023
Current release14, December 2021
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentsOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedLinux
Windows
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.yesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLyes infostandard with numerous extensionsYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesPython
R
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes
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 datayesyes, multi-version concurrency control (MVCC)yes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists

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More resources
DatabricksEDB PostgresYTsaurus
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15 May 2025, CRN Magazine

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