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DBMS > DuckDB vs. IRONdb vs. Neo4j vs. RisingWave

System Properties Comparison DuckDB vs. IRONdb vs. Neo4j vs. RisingWave

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonIRONdb  Xexclude from comparisonNeo4j  Xexclude from comparisonRisingWave  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websiteduckdb.orgwww.circonus.com/solutions/time-series-database/neo4j.comwww.risingwave.com/­database
Technical documentationduckdb.org/­docsdocs.circonus.com/irondb/category/getting-startedneo4j.com/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperCirconus LLC.Neo4j, Inc.RisingWave Labs
Initial release2018201720072022
Current release1.0.0, June 2024V0.10.20, January 20185.20, May 20241.2, September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageC++C and C++Java, ScalaRust
Server operating systemsserver-lessLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesStandard SQL-types and JSON
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.nonono
Secondary indexesyesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes, in Luayes infoUser defined Procedures and FunctionsUDFs in Python or Java
Triggersnonoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter awareCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesnoyes
User concepts infoAccess controlnonoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users and Roles
More information provided by the system vendor
DuckDBIRONdbNeo4jRisingWave
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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