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DBMS > EXASOL vs. Firebase Realtime Database vs. Stardog

System Properties Comparison EXASOL vs. Firebase Realtime Database vs. Stardog

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSDocument storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.exasol.comfirebase.google.com/­products/­realtime-databasewww.stardog.com
Technical documentationwww.exasol.com/­resourcesfirebase.google.com/­docs/­databasedocs.stardog.com
DeveloperExasolGoogle infoacquired by Google 2014Stardog-Union
Initial release200020122010
Current release7.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
macOS
Windows
Data schemeyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes
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.nonono infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Android
iOS
JavaScript API
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJava
Lua
Python
R
Java
JavaScript
Objective-C
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'user defined functions and aggregates, HTTP Server extensions in Java
TriggersyesCallbacks are triggered when data changesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
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 in HA-Cluster
Foreign keys infoReferential integrityyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyes, based on authentication and database rulesAccess rights for users and roles

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More resources
EXASOLFirebase Realtime DatabaseStardog
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
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