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DBMS > etcd vs. Firebase Realtime Database vs. MarkLogic vs. Stardog

System Properties Comparison etcd vs. Firebase Realtime Database vs. MarkLogic vs. Stardog

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMarkLogic  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA distributed reliable key-value storeCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Operational and transactional Enterprise NoSQL databaseEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score13.60
Rank#39  Overall
#6  Document stores
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websiteetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­realtime-databasewww.progress.com/­marklogicwww.stardog.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­databasewww.progress.com/­marklogic/­documentationdocs.stardog.com
DeveloperGoogle infoacquired by Google 2014MarkLogic Corp.Stardog-Union
Initial release201220012010
Current release3.4, August 201911.0, December 20227.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availablecommercial 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 servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesno infoImport/export of XML data possible
Secondary indexesnoyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoyes infoSQL92Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsgRPC
JSON over HTTP
Android
iOS
JavaScript API
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
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 languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
JavaScript
Objective-C
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infovia XQuery or JavaScriptuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, watching key changesCallbacks are triggered when data changesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
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 ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesRole-based access control at the document and subdocument levelsAccess rights for users and roles

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More resources
etcdFirebase Realtime DatabaseMarkLogicStardog
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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