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DBMS > Dgraph vs. IBM Db2 warehouse vs. Lovefield vs. PouchDB vs. Spark SQL

System Properties Comparison Dgraph vs. IBM Db2 warehouse vs. Lovefield vs. PouchDB vs. Spark SQL

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonLovefield  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSCloud-based data warehousing serviceEmbeddable relational database for web apps written in pure JavaScriptJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitedgraph.iowww.ibm.com/­products/­db2/­warehousegoogle.github.io/­lovefieldpouchdb.comspark.apache.org/­sql
Technical documentationdgraph.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDgraph Labs, Inc.IBMGoogleApache Software FoundationApache Software Foundation
Initial release20162014201420122014
Current release2.1.12, February 20177.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScriptJavaScriptScala
Server operating systemsLinux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safariserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nono infoImport/export of XML data possiblenonono
Secondary indexesyesyesyesyes infovia viewsno
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternnoSQL-like DML and DDL statements
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScriptJavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLnoView functions in JavaScriptno
TriggersnoyesUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByesno
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardnonono

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More resources
DgraphIBM Db2 warehouse infoformerly named IBM dashDBLovefieldPouchDBSpark SQL
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