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DBMS > Brytlyt vs. Firebase Realtime Database vs. OpenTSDB vs. Vitess

System Properties Comparison Brytlyt vs. Firebase Realtime Database vs. OpenTSDB vs. Vitess

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonOpenTSDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable Time Series DBMS based on HBaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitebrytlyt.iofirebase.google.com/­products/­realtime-databaseopentsdb.netvitess.io
Technical documentationdocs.brytlyt.iofirebase.google.com/­docs/­databaseopentsdb.net/­docs/­build/­html/­index.htmlvitess.io/­docs
DeveloperBrytlytGoogle infoacquired by Google 2014currently maintained by Yahoo and other contributorsThe Linux Foundation, PlanetScale
Initial release2016201220112013
Current release5.0, August 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPLOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJavaGo
Server operating systemsLinux
OS X
Windows
hostedLinux
Windows
Docker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnonoyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
Telnet API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
Erlang
Go
Java
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLlimited functionality with using 'rules'noyes infoproprietary syntax
TriggersyesCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 infobased on HBaseEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
BrytlytFirebase Realtime DatabaseOpenTSDBVitess
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