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DBMS > Databricks vs. Dgraph vs. Ehcache vs. EventStoreDB

System Properties Comparison Databricks vs. Dgraph vs. Ehcache vs. EventStoreDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonEhcache  Xexclude from comparisonEventStoreDB  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.Distributed and scalable native Graph DBMSA widely adopted Java cache with tiered storage optionsIndustrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database modelDocument store
Relational DBMS
Graph DBMSKey-value storeEvent Store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score1.07
Rank#181  Overall
#1  Event Stores
Websitewww.databricks.comdgraph.iowww.ehcache.orgwww.eventstore.com
Technical documentationdocs.databricks.comdgraph.io/­docswww.ehcache.org/­documentationdevelopers.eventstore.com
DeveloperDatabricksDgraph Labs, Inc.Terracotta Inc, owned by Software AGEvent Store Limited
Initial release2013201620092012
Current release3.10.0, March 202221.2, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
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 indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCache
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono
Triggersnoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via Raftyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approach
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoPlanned for future releasesno
More information provided by the system vendor
DatabricksDgraphEhcacheEventStoreDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDgraphEhcacheEventStoreDB
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