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DBMS > Drizzle vs. FatDB vs. Firebase Realtime Database vs. Graphite vs. XTDB

System Properties Comparison Drizzle vs. FatDB vs. Firebase Realtime Database vs. Graphite vs. XTDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGraphite  Xexclude from comparisonXTDB infoformerly named Crux  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.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Key-value store
Document storeTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­graphite-project/­graphite-webgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationfirebase.google.com/­docs/­databasegraphite.readthedocs.iowww.xtdb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerFatCloudGoogle infoacquired by Google 2014Chris DavisJuxt Ltd.
Initial release20082012201220062019
Current release7.2.4, September 20121.19, September 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#PythonClojure
Server operating systemsFreeBSD
Linux
OS X
WindowshostedLinux
Unix
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes, extensible-data-notation format
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsno infoVia inetgration in SQL Servernonolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
Sockets
HTTP REST
JDBC
Supported programming languagesC
C++
Java
PHP
C#Java
JavaScript
Objective-C
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresnoyes infovia applicationslimited functionality with using 'rules'nono
Triggersno infohooks for callbacks inside the server can be used.yes infovia applicationsCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
none
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsyes, based on authentication and database rulesno

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More resources
DrizzleFatDBFirebase Realtime DatabaseGraphiteXTDB infoformerly named Crux
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