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DBMS > Databricks vs. Dgraph vs. IBM Cloudant vs. TigerGraph

System Properties Comparison Databricks vs. Dgraph vs. IBM Cloudant vs. TigerGraph

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonTigerGraph  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.Distributed and scalable native Graph DBMSDatabase as a Service offering based on Apache CouchDBA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Relational DBMS
Graph DBMSDocument storeGraph 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
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.databricks.comdgraph.iowww.ibm.com/­products/­cloudantwww.tigergraph.com
Technical documentationdocs.databricks.comdgraph.io/­docscloud.ibm.com/­docs/­Cloudantdocs.tigergraph.com
DeveloperDatabricksDgraph Labs, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2013201620102017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoErlangC++
Server operating systemshostedLinux
OS X
Windows
hostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.yesnonono
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnonoSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP/JSON APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoView functions (Map-Reduce) in JavaScriptyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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.nonono
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users can be defined per databaseRole-based access control
More information provided by the system vendor
DatabricksDgraphIBM CloudantTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDgraphIBM CloudantTigerGraph
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