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DBMS > Databricks vs. JanusGraph

System Properties Comparison Databricks vs. JanusGraph

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonJanusGraph infosuccessor of Titan  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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.89
Rank#128  Overall
#12  Graph DBMS
Websitewww.databricks.comjanusgraph.org
Technical documentationdocs.databricks.comdocs.janusgraph.org
DeveloperDatabricksLinux Foundation; originally developed as Titan by Aurelius
Initial release20132017
Current release0.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes
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
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesPython
R
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUser authentification and security via Rexster Graph Server
More information provided by the system vendor
DatabricksJanusGraph infosuccessor of Titan
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksJanusGraph infosuccessor of Titan
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Databricks Acquires Prodvana to Enhance Cloud Infrastructure Capabilities
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11 July 2024, The New Stack

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Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
3 October 2019, The New Stack

Compose for JanusGraph arrives on Bluemix
15 September 2017, ibm.com

provided by Google News



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