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DBMS > Drizzle vs. Firebase Realtime Database vs. Immudb vs. Microsoft Azure Table Storage

System Properties Comparison Drizzle vs. Firebase Realtime Database vs. Immudb vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonImmudb  Xexclude from comparisonMicrosoft Azure Table Storage  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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSDocument storeKey-value storeWide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.31
Rank#295  Overall
#42  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­codenotary/­immudb
immudb.io
azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationfirebase.google.com/­docs/­databasedocs.immudb.io
DeveloperDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014CodenotaryMicrosoft
Initial release2008201220202012
Current release7.2.4, September 20121.2.3, April 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemsFreeBSD
Linux
OS X
hostedBSD
Linux
macOS
Solaris
Windows
z/OS
hosted
Data schemeyesschema-freeschema-freeschema-free
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 indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like syntaxno
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Java
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'nono
Triggersno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesAccess rights based on private key authentication or shared access signatures

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More resources
DrizzleFirebase Realtime DatabaseImmudbMicrosoft Azure Table Storage
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