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DBMS > Apache Doris vs. Drizzle vs. Neo4j vs. PlanetScale

System Properties Comparison Apache Doris vs. Drizzle vs. Neo4j vs. PlanetScale

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDrizzle  Xexclude from comparisonNeo4j  Xexclude from comparisonPlanetScale  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
neo4j.complanetscale.com
Technical documentationgithub.com/­apache/­doris/­wikineo4j.com/­docsplanetscale.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduDrizzle project, originally started by Brian AkerNeo4j, Inc.PlanetScale
Initial release2017200820072020
Current release1.2.2, February 20237.2.4, September 20125.20, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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 languageJavaC++Java, ScalaGo
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyes infowith proprietary extensions
APIs and other access methodsJDBC
MySQL client
JDBCBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaC
C++
Java
PHP
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoyes infoUser defined Procedures and Functionsyes infoproprietary syntax
Triggersnono infohooks for callbacks inside the server can be used.yes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Apache DorisDrizzleNeo4jPlanetScale
Specific characteristicsNeo4j 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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More resources
Apache DorisDrizzleNeo4jPlanetScale
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