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DBMS > Databricks vs. Google BigQuery vs. Google Cloud Spanner vs. LokiJS vs. MySQL

System Properties Comparison Databricks vs. Google BigQuery vs. Google Cloud Spanner vs. LokiJS vs. MySQL

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonLokiJS  Xexclude from comparisonMySQL  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.Large scale data warehouse service with append-only tablesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.In-memory JavaScript DBMSWidely used open source RDBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument storeRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score0.44
Rank#256  Overall
#40  Document stores
Score1029.49
Rank#2  Overall
#2  Relational DBMS
Websitewww.databricks.comcloud.google.com/­bigquerycloud.google.com/­spannergithub.com/­techfort/­LokiJSwww.mysql.com
Technical documentationdocs.databricks.comcloud.google.com/­bigquery/­docscloud.google.com/­spanner/­docstechfort.github.io/­LokiJSdev.mysql.com/­doc
DeveloperDatabricksGoogleGoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release20132010201720141995
Current release9.0.0, July 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC and C++
Server operating systemshostedhostedhostedserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnononoyes
Secondary indexesyesnoyesyes infovia viewsyes
SQL infoSupport of SQLwith Databricks SQLyesyes infoQuery statements complying to ANSI 2011noyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JavaScript APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesPython
R
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions infoin JavaScriptnoView functions in JavaScriptyes infoproprietary syntax
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID infoStrict serializable isolationno infoatomic operations within a single collection possibleACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes 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.nononoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
DatabricksGoogle BigQueryGoogle Cloud SpannerLokiJSMySQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGoogle BigQueryGoogle Cloud SpannerLokiJSMySQL
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