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DBMS > DuckDB vs. EventStoreDB vs. Firebase Realtime Database vs. H2GIS

System Properties Comparison DuckDB vs. EventStoreDB vs. Firebase Realtime Database vs. H2GIS

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2GIS  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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spatial extension of H2
Primary database modelRelational DBMSEvent StoreDocument storeSpatial DBMS
Secondary database modelsRelational 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
Score13.64
Rank#39  Overall
#6  Document stores
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Websiteduckdb.orgwww.eventstore.comfirebase.google.com/­products/­realtime-databasewww.h2gis.org
Technical documentationduckdb.org/­docsdevelopers.eventstore.comfirebase.google.com/­docs/­databasewww.h2gis.org/­docs/­home
DeveloperEvent Store LimitedGoogle infoacquired by Google 2014CNRS
Initial release2018201220122013
Current release1.0.0, June 202421.2, February 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen SourcecommercialOpen Source infoLGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsserver-lessLinux
Windows
hosted
Data schemeyesschema-freeyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
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
JavaScript
Objective-C
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infobased on H2
TriggersnoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infobased on H2
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesyes infobased on H2

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More resources
DuckDBEventStoreDBFirebase Realtime DatabaseH2GIS
DB-Engines blog posts

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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

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

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

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14 May 2024, TechCrunch

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