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DBMS > Databricks vs. YottaDB

System Properties Comparison Databricks vs. YottaDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonYottaDB  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 fast and solid embedded Key-value store
Primary database modelDocument store
Relational DBMS
Key-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score87.85
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score0.17
Rank#314  Overall
#44  Key-value stores
Websitewww.databricks.comyottadb.com
Technical documentationdocs.databricks.comyottadb.com/­resources/­documentation
DeveloperDatabricksYottaDB, LLC
Initial release20132001
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedDocker
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateno
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
Secondary indexesyesno
SQL infoSupport of SQLwith Databricks SQLby using the Octo plugin
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesPython
R
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregates
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers and groups based on OS-security mechanisms
More information provided by the system vendor
DatabricksYottaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksYottaDB
DB-Engines blog posts

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Recent citations in the news

Venture-backed Databricks lands direct lending financing package
17 January 2025, PitchBook News & Analysis

Analytics and Data Science News for the Week of January 17; Updates from Databricks, Qlik, ThoughtSpot & More
17 January 2025, Solutions Review

Databricks Inks $5 Billion of Private Credit, Bank Funding
13 January 2025, Bloomberg

‘It’s dumb to IPO this year’: Databricks CEO explains why he’s waiting to go public
17 December 2024, TechCrunch

Databricks announces $10 billion financing at $62 billion valuation
17 December 2024, CNBC

provided by Google News



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