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DBMS > Databricks vs. Firebase Realtime Database vs. Hazelcast vs. Linter vs. Sphinx

System Properties Comparison Databricks vs. Firebase Realtime Database vs. Hazelcast vs. Linter vs. Sphinx

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonLinter  Xexclude from comparisonSphinx  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-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A widely adopted in-memory data gridRDBMS for high security requirementsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Document storeKey-value storeRelational DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.databricks.comfirebase.google.com/­products/­realtime-databasehazelcast.comlinter.rusphinxsearch.com
Technical documentationdocs.databricks.comfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docssphinxsearch.com/­docs
DeveloperDatabricksGoogle infoacquired by Google 2014Hazelcastrelex.ruSphinx Technologies Inc.
Initial release20132012200819902001
Current release5.3.6, November 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemshostedhostedAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary protocol
Supported programming languagesPython
R
Scala
Java
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregateslimited functionality with using 'rules'yes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQLno
TriggersCallbacks are triggered when data changesyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated MapSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksFirebase Realtime DatabaseHazelcastLinterSphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksFirebase Realtime DatabaseHazelcastLinterSphinx
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