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DBMS > Bangdb vs. Brytlyt vs. Firebase Realtime Database vs. GeoMesa vs. TerarkDB

System Properties Comparison Bangdb vs. Brytlyt vs. Firebase Realtime Database vs. GeoMesa vs. TerarkDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBrytlyt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeoMesa  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable 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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeSpatial DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitebangdb.combrytlyt.iofirebase.google.com/­products/­realtime-databasewww.geomesa.orggithub.com/­bytedance/­terarkdb
Technical documentationdocs.bangdb.comdocs.brytlyt.iofirebase.google.com/­docs/­databasewww.geomesa.org/­documentation/­stable/­user/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperSachin Sinha, BangDBBrytlytGoogle infoacquired by Google 2014CCRi and othersByteDance, originally Terark
Initial release20122016201220142016
Current releaseBangDB 2.0, October 20215.0, August 20235.0.0, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialOpen Source infoApache License 2.0commercial inforestricted open source version available
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++C, C++ and CUDAScalaC++
Server operating systemsLinuxLinux
OS X
Windows
hosted
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesno
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.noyes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyesno
SQL infoSupport of SQLSQL like support with command line toolyesnonono
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
C++
Java
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLlimited functionality with using 'rules'nono
Triggersyes, Notifications (with Streaming only)yesCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
depending on storage layer
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modedepending on storage layeryes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardyes, based on authentication and database rulesyes infodepending on the DBMS used for storageno

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More resources
BangdbBrytlytFirebase Realtime DatabaseGeoMesaTerarkDB
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