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DBMS > Drizzle vs. DuckDB vs. Firebase Realtime Database vs. Hazelcast vs. Linter

System Properties Comparison Drizzle vs. DuckDB vs. Firebase Realtime Database vs. Hazelcast vs. Linter

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonDuckDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonLinter  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An embeddable, in-process, column-oriented SQL OLAP RDBMSCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A widely adopted in-memory data gridRDBMS for high security requirements
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websiteduckdb.orgfirebase.google.com/­products/­realtime-databasehazelcast.comlinter.ru
Technical documentationduckdb.org/­docsfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docs
DeveloperDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014Hazelcastrelex.ru
Initial release20082018201220081990
Current release7.2.4, September 20121.0.0, June 20245.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaC and C++
Server operating systemsFreeBSD
Linux
OS X
server-lesshostedAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyesschema-freeschema-freeyes
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoSQL-like query languageyes
APIs and other access methodsJDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
C++
Java
PHP
C
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
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'yes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersno infohooks for callbacks inside the server can be used.noCallbacks are triggered when data changesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
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 or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoyes, based on authentication and database rulesRole-based access controlfine grained access rights according to SQL-standard

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More resources
DrizzleDuckDBFirebase Realtime DatabaseHazelcastLinter
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