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DBMS > DuckDB vs. EventStoreDB vs. H2 vs. Postgres-XL

System Properties Comparison DuckDB vs. EventStoreDB vs. H2 vs. Postgres-XL

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonH2  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSIndustrial-strength, open-source database solution built from the ground up for event sourcing.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSEvent StoreRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websiteduckdb.orgwww.eventstore.comwww.h2database.comwww.postgres-xl.org
Technical documentationduckdb.org/­docsdevelopers.eventstore.comwww.h2database.com/­html/­main.htmlwww.postgres-xl.org/­documentation
DeveloperEvent Store LimitedThomas Mueller
Initial release2018201220052014 infosince 2012, originally named StormDB
Current release1.0.0, June 202421.2, February 20212.2.220, July 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMozilla public license
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.
Implementation languageC++JavaC
Server operating systemsserver-lessLinux
Windows
All OS with a Java VMLinux
macOS
Data schemeyesyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infodistributed, parallel query execution
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Java.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DuckDBEventStoreDBH2Postgres-XL
Recent citations in the news

MotherDuck Announces General Availability; Brings Simplicity and Power of DuckDB in a Serverless Data Warehouse
11 June 2024, PR Newswire

DuckDB: The tiny but powerful analytics database
15 May 2024, InfoWorld

DuckDB promises greater stability with 1.0 release
5 June 2024, The Register

DuckDB: In-Process Python Analytics for Not-Quite-Big Data
31 May 2024, The New Stack

My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
1 May 2024, Towards Data Science

provided by Google News



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