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DBMS > Databricks vs. OrigoDB vs. Postgres-XL vs. TigerGraph vs. TinkerGraph

System Properties Comparison Databricks vs. OrigoDB vs. Postgres-XL vs. TigerGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  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.A fully ACID in-memory object graph databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMSGraph DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.databricks.comorigodb.comwww.postgres-xl.orgwww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.databricks.comorigodb.com/­docswww.postgres-xl.org/­documentationdocs.tigergraph.com
DeveloperDatabricksRobert Friberg et al
Initial release20132009 infounder the name LiveDB2014 infosince 2012, originally named StormDB20172009
Current release10 R1, October 2018
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMozilla public licensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CC++Java
Server operating systemshostedLinux
Windows
Linux
macOS
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyesyes
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.yesno infocan be achieved using .NETyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoyes infodistributed, parallel query executionSQL-like query language (GSQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesPython
R
Scala
.Net.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functionsyesno
Triggersyes infoDomain Eventsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritydepending on modelyesyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlRole based authorizationfine grained access rights according to SQL-standardRole-based access controlno
More information provided by the system vendor
DatabricksOrigoDBPostgres-XLTigerGraphTinkerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOrigoDBPostgres-XLTigerGraphTinkerGraph
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