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DBMS > Databricks vs. Hive vs. HugeGraph vs. Stardog vs. TinkerGraph

System Properties Comparison Databricks vs. Hive vs. HugeGraph vs. Stardog vs. TinkerGraph

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonStardog  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.data warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMSGraph DBMS
RDF store
Graph 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
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.databricks.comhive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.stardog.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.databricks.comcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsdocs.stardog.com
DeveloperDatabricksApache Software Foundation infoinitially developed by FacebookBaiduStardog-Union
Initial release20132012201820102009
Current release3.1.3, April 20220.97.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen 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 languageJavaJavaJavaJava
Server operating systemshostedAll OS with a Java VMLinux
macOS
Unix
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono infoImport/export of XML data possibleno
Secondary indexesyesyesyes infoalso supports composite index and range indexyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLwith Databricks SQLSQL-like DML and DDL statementsnoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
TinkerPop 3
Supported programming languagesPython
R
Scala
C++
Java
PHP
Python
Groovy
Java
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnonoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducevia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency in HA-Clusternone
Foreign keys infoReferential integritynoyes infoedges in graphyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesUsers, roles and permissionsAccess rights for users and rolesno
More information provided by the system vendor
DatabricksHiveHugeGraphStardogTinkerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHiveHugeGraphStardogTinkerGraph
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