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DBMS > Databricks vs. LevelDB vs. LokiJS vs. PostGIS

System Properties Comparison Databricks vs. LevelDB vs. LokiJS vs. PostGIS

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonLevelDB  Xexclude from comparisonLokiJS  Xexclude from comparisonPostGIS  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesIn-memory JavaScript DBMSSpatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Key-value storeDocument storeSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.43
Rank#264  Overall
#42  Document stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.databricks.comgithub.com/­google/­leveldbgithub.com/­techfort/­LokiJSpostgis.net
Technical documentationdocs.databricks.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdtechfort.github.io/­LokiJSpostgis.net/­documentation
DeveloperDatabricksGoogle
Initial release2013201120142005
Current release1.23, February 20213.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen SourceOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC
Server operating systemshostedIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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.yesnonoyes
Secondary indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLwith Databricks SQLnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JavaScript API
Supported programming languagesPython
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoView functions in JavaScriptuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnonoyes infobased on PostgreSQL
More information provided by the system vendor
DatabricksLevelDBLokiJSPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksLevelDBLokiJSPostGIS
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