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DBMS > Databricks vs. Neo4j vs. Oracle Coherence vs. Postgres-XL

System Properties Comparison Databricks vs. Neo4j vs. Oracle Coherence vs. Postgres-XL

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonNeo4j  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPostgres-XL  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.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOracles in-memory data grid solutionBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Relational DBMS
Graph DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.databricks.comneo4j.comwww.oracle.com/­java/­coherencewww.postgres-xl.org
Technical documentationdocs.databricks.comneo4j.com/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.postgres-xl.org/­documentation
DeveloperDatabricksNeo4j, Inc.Oracle
Initial release2013200720072014 infosince 2012, originally named StormDB
Current release5.19, April 202414.1, August 202310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercialOpen Source infoMozilla public license
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaJavaC
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnoyes infoXML type, but no XML query functionality
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Lucenenoyes
SQL infoSupport of SQLwith Databricks SQLnonoyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesPython
R
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoUser defined Procedures and Functionsnouser defined functions
Triggersyes infovia event handleryes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDconfigurableACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)authentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksNeo4jOracle CoherencePostgres-XL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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