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DBMS > Firebase Realtime Database vs. GreptimeDB vs. RRDtool vs. Splice Machine

System Properties Comparison Firebase Realtime Database vs. GreptimeDB vs. RRDtool vs. Splice Machine

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRRDtool  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCloud-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 Time Series DBMS built for increased scalability, high performance and efficiencyIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score1.70
Rank#136  Overall
#11  Time Series DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegreptime.comoss.oetiker.ch/­rrdtoolsplicemachine.com
Technical documentationfirebase.google.com/­docs/­databasedocs.greptime.comoss.oetiker.ch/­rrdtool/­docsplicemachine.com/­how-it-works
DeveloperGoogle infoacquired by Google 2014Greptime Inc.Tobias OetikerSplice Machine
Initial release2012202219992014
Current release1.8.0, 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL V2 and FLOSSOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
HP-UX
Linux
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP API
JDBC
in-process shared library
Pipes
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C++
Erlang
Go
Java
JavaScript
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'Pythonnoyes infoJava
TriggersCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesSimple rights management via user accountsnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Firebase Realtime DatabaseGreptimeDBRRDtoolSplice Machine
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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Firebase Realtime DatabaseGreptimeDBRRDtoolSplice Machine
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