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DBMS > Dgraph vs. Firebase Realtime Database vs. Spark SQL vs. TigerGraph vs. XTDB

System Properties Comparison Dgraph vs. Firebase Realtime Database vs. Spark SQL vs. TigerGraph vs. XTDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMSDocument storeRelational DBMSGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitedgraph.iofirebase.google.com/­products/­realtime-databasespark.apache.org/­sqlwww.tigergraph.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdgraph.io/­docsfirebase.google.com/­docs/­databasespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.comwww.xtdb.com/­docs
DeveloperDgraph Labs, Inc.Google infoacquired by Google 2014Apache Software FoundationJuxt Ltd.
Initial release20162012201420172019
Current release3.5.0 ( 2.13), September 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC++Clojure
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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.nonononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (GSQL)limited SQL, making use of Apache Calcite
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript
Objective-C
Java
Python
R
Scala
C++
Java
Clojure
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyesno
TriggersnoCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesyesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoPlanned for future releasesyes, based on authentication and database rulesnoRole-based access control

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More resources
DgraphFirebase Realtime DatabaseSpark SQLTigerGraphXTDB infoformerly named Crux
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