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

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

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonElasticsearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGeoMesa  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricCloud-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 modelRelational DBMSSearch engineDocument storeSpatial DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
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
Websitebrytlyt.iowww.elastic.co/­elasticsearchfirebase.google.com/­products/­realtime-databasewww.geomesa.orggithub.com/­bytedance/­terarkdb
Technical documentationdocs.brytlyt.iowww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­databasewww.geomesa.org/­documentation/­stable/­user/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBrytlytElasticGoogle infoacquired by Google 2014CCRi and othersByteDance, originally Terark
Initial release20162010201220142016
Current release5.0, August 20238.6, January 20235.0.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen 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++ and CUDAJavaScalaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhosted
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesno
SQL infoSupport of SQLyesSQL-like query languagenonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyeslimited functionality with using 'rules'nono
Triggersyesyes infoby using the 'percolation' featureCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
depending on storage layer
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationdepending on storage layeryes
User concepts infoAccess controlfine 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
BrytlytElasticsearchFirebase Realtime DatabaseGeoMesaTerarkDB
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Recent citations in the news

Opensignal Announces Acquisition of Brytlyt GPU-based Data Analytics & Visualization Technology
5 June 2024, PR Web

Brytlyt releases version 5.0, introducing a more intuitive, intelligent and flexible analytics platform
1 August 2023, PR Newswire

London data analytics startup Brytlyt raises €4.43M from Amsterdam-based Finch Capital, others
22 December 2021, Silicon Canals

Brytlyt Secures $4M in Series A Funding
20 May 2020, Datanami

London’s Brytlyt raises €4.4 million for its data analytics and visualisation technology
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