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DBMS > Databricks vs. Ehcache vs. JanusGraph

System Properties Comparison Databricks vs. Ehcache vs. JanusGraph

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEhcache  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 widely adopted Java cache with tiered storage optionsA 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
Key-value 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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websitewww.databricks.comwww.ehcache.orgjanusgraph.org
Technical documentationdocs.databricks.comwww.ehcache.org/­documentationdocs.janusgraph.org
DeveloperDatabricksTerracotta Inc, owned by Software AGLinux Foundation; originally developed as Titan by Aurelius
Initial release201320092017
Current release3.10.0, March 20220.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCacheJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesPython
R
Scala
JavaClojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serveryes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta Serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes 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.noyes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph Server
More information provided by the system vendor
DatabricksEhcacheJanusGraph infosuccessor of Titan
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEhcacheJanusGraph infosuccessor of Titan
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