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DBMS > Databricks vs. Google Cloud Firestore vs. RethinkDB vs. STSdb vs. YottaDB

System Properties Comparison Databricks vs. Google Cloud Firestore vs. RethinkDB vs. STSdb vs. YottaDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonRethinkDB  Xexclude from comparisonSTSdb  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.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.DBMS for the Web with a mechanism to push updated query results to applications in realtime.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fast and solid embedded Key-value store
Primary database modelDocument store
Relational DBMS
Document storeDocument storeKey-value storeKey-value store
Secondary database modelsSpatial DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score2.66
Rank#107  Overall
#20  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.databricks.comfirebase.google.com/­products/­firestorerethinkdb.comgithub.com/­STSSoft/­STSdb4yottadb.com
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­firestorerethinkdb.com/­docsyottadb.com/­resources/­documentation
DeveloperDatabricksGoogleThe Linux Foundation infosince July 2017STS Soft SCYottaDB, LLC
Initial release20132017200920112001
Current release2.4.1, August 20204.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoGPLv2, commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C
Server operating systemshostedhostedLinux
OS X
Windows
WindowsDocker
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyes infoprimitive types and user defined types (classes)no
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.yesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLwith Databricks SQLnononoby using the Octo plugin
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesPython
R
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C#
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes, Firebase Rules & Cloud Functionsno
Triggersyes, with Cloud FunctionsClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesAtomic single-document operationsnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infousers and table-level permissionsnoUsers and groups based on OS-security mechanisms
More information provided by the system vendor
DatabricksGoogle Cloud FirestoreRethinkDBSTSdbYottaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGoogle Cloud FirestoreRethinkDBSTSdbYottaDB
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