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DBMS > ClickHouse vs. Drizzle vs. MariaDB vs. Neo4j vs. Spark SQL

System Properties Comparison ClickHouse vs. Drizzle vs. MariaDB vs. Neo4j vs. Spark SQL

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDrizzle  Xexclude from comparisonMariaDB  Xexclude from comparisonNeo4j  Xexclude from comparisonSpark SQL  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.
DescriptionA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.20
Rank#37  Overall
#23  Relational DBMS
Score93.81
Rank#13  Overall
#9  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteclickhouse.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
neo4j.comspark.apache.org/­sql
Technical documentationclickhouse.com/­docsmariadb.com/­kb/­en/­libraryneo4j.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperClickhouse Inc.Drizzle project, originally started by Brian AkerMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Neo4j, Inc.Apache Software Foundation
Initial release201620082009 infoFork of MySQL, which was first released in 199520072014
Current releasev23.12.1.1368-stable, December 20237.2.4, September 201211.3.2, February 20245.18.1, March 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++C++C and C++Java, ScalaScala
Server operating systemsFreeBSD
Linux
macOS
FreeBSD
Linux
OS X
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes infoDynamic columns are supportedschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yes infowith proprietary extensionsyes infowith proprietary extensionsnoSQL-like DML and DDL statements
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
JDBCADO.NET
JDBC
ODBC
Proprietary native API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C
C++
Java
PHP
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyes infoPL/SQL compatibility added with version 10.3yes infoUser defined Procedures and Functionsno
Triggersnono infohooks for callbacks inside the server can be used.yesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodeskey based and customShardingseveral options for horizontal partitioning and Shardingyes using Neo4j Fabricyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infonot for MyISAM storage engineACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infowith MEMORY storage engineno
User concepts infoAccess controlAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Pluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
ClickHouseDrizzleMariaDBNeo4jSpark SQL
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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Related products and services
3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
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