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DBMS > Databricks vs. Dgraph vs. InterSystems Caché vs. JanusGraph vs. YottaDB

System Properties Comparison Databricks vs. Dgraph vs. InterSystems Caché vs. JanusGraph vs. YottaDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonYottaDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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 DBMSA multi-model DBMS and application serverA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A fast and solid embedded Key-value store
Primary database modelDocument store
Relational DBMS
Graph DBMSKey-value store
Object oriented DBMS
Relational DBMS
Graph DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS infousing the Octo plugin
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
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.databricks.comdgraph.iowww.intersystems.com/­products/­cachejanusgraph.orgyottadb.com
Technical documentationdocs.databricks.comdgraph.io/­docsdocs.intersystems.comdocs.janusgraph.orgyottadb.com/­resources/­documentation
DeveloperDatabricksDgraph Labs, Inc.InterSystemsLinux Foundation; originally developed as Titan by AureliusYottaDB, LLC
Initial release20132016199720172001
Current release2018.1.4, May 20200.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC
Server operating systemshostedLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Docker
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnoyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoyesnoby using the Octo plugin
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
Clojure
Java
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and rolesUser authentification and security via Rexster Graph ServerUsers and groups based on OS-security mechanisms
More information provided by the system vendor
DatabricksDgraphInterSystems CachéJanusGraph infosuccessor of TitanYottaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDgraphInterSystems CachéJanusGraph infosuccessor of TitanYottaDB
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