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DBMS > Brytlyt vs. Elasticsearch vs. Google Cloud Firestore vs. Graphite vs. Sequoiadb

System Properties Comparison Brytlyt vs. Elasticsearch vs. Google Cloud Firestore vs. Graphite vs. Sequoiadb

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonElasticsearch  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraphite  Xexclude from comparisonSequoiadb  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 Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSSearch engineDocument storeTime Series DBMSDocument store
Relational DBMS
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
Score7.36
Rank#53  Overall
#9  Document stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitebrytlyt.iowww.elastic.co/­elasticsearchfirebase.google.com/­products/­firestoregithub.com/­graphite-project/­graphite-webwww.sequoiadb.com
Technical documentationdocs.brytlyt.iowww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­firestoregraphite.readthedocs.iowww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperBrytlytElasticGoogleChris DavisSequoiadb Ltd.
Initial release20162010201720062013
Current release5.0, August 20238.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2
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 CUDAJavaPythonC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedLinux
Unix
Linux
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes infooid, date, timestamp, binary, regex
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 indexedyesnoyes
SQL infoSupport of SQLyesSQL-like query languagenonoSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
Sockets
proprietary protocol using JSON
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesyes, Firebase Rules & Cloud FunctionsnoJavaScript
Triggersyesyes infoby using the 'percolation' featureyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop ConnectorUsing Cloud Dataflownono
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, allImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
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 integrationno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nosimple password-based access control

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More resources
BrytlytElasticsearchGoogle Cloud FirestoreGraphiteSequoiadb
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