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DBMS > Databricks vs. NSDb vs. Trino

System Properties Comparison Databricks vs. NSDb vs. Trino

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonNSDb  Xexclude from comparisonTrino  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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score87.68
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score0.00
Rank#392  Overall
#44  Time Series DBMS
Score5.38
Rank#60  Overall
#35  Relational DBMS
Websitewww.databricks.comnsdb.iotrino.io
Technical documentationdocs.databricks.comnsdb.io/­Architecturetrino.io/­broadcast
trino.io/­docs/­current
DeveloperDatabricksTrino Software Foundation
Initial release201320172012 info2020 rebranded from PrestoSQL
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 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 languageJava, ScalaJava
Server operating systemshostedLinux
macOS
Linux
macOS infofor devlopment
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyes
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 indexesyesall fields are automatically indexeddepending on connected data-source
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesPython
R
Scala
Java
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, depending on connected data-source
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Lucenedepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlSQL standard access control
More information provided by the system vendor
DatabricksNSDbTrino
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
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Recent citations in the news

When Databricks Will Be As Big as Snowflake; A Sleeper Fintech IPO Candidate
3 December 2024, The Information

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