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DBMS > Databricks vs. Graphite vs. H2GIS vs. Neo4j vs. Sqrrl

System Properties Comparison Databricks vs. Graphite vs. H2GIS vs. Neo4j vs. Sqrrl

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGraphite  Xexclude from comparisonH2GIS  Xexclude from comparisonNeo4j  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been 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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperSpatial extension of H2Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Relational DBMS
Time Series DBMSSpatial DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational 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
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitewww.databricks.comgithub.com/­graphite-project/­graphite-webwww.h2gis.orgneo4j.comsqrrl.com
Technical documentationdocs.databricks.comgraphite.readthedocs.iowww.h2gis.org/­docs/­homeneo4j.com/­docs
DeveloperDatabricksChris DavisCNRSNeo4j, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20132006201320072012
Current release5.20, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoLGPL 3.0Open Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languagePythonJavaJava, ScalaJava
Server operating systemshostedLinux
Unix
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyes
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 indexesyesnoyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLwith Databricks SQLnoyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Sockets
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesPython
R
Scala
JavaScript (Node.js)
Python
Java.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infobased on H2yes infoUser defined Procedures and Functionsno
Triggersnoyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes using Neo4j FabricSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infobased on H2Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoyes infobased on H2Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
DatabricksGraphiteH2GISNeo4jSqrrl
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Neo4j delivers graph technology that has been battle tested for performance and scale...
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Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
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Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
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Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
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Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
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Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
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