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DBMS > atoti vs. Brytlyt vs. Firebase Realtime Database vs. SurrealDB

System Properties Comparison atoti vs. Brytlyt vs. Firebase Realtime Database vs. SurrealDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBrytlyt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable 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.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelObject oriented DBMSRelational DBMSDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteatoti.iobrytlyt.iofirebase.google.com/­products/­realtime-databasesurrealdb.com
Technical documentationdocs.atoti.iodocs.brytlyt.iofirebase.google.com/­docs/­databasesurrealdb.com/­docs
DeveloperActiveViamBrytlytGoogle infoacquired by Google 2014SurrealDB Ltd
Initial release201620122022
Current release5.0, August 2023v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDARust
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresPythonuser defined functions infoin PL/pgSQLlimited functionality with using 'rules'
TriggersyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-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
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesyes, based on authentication and database rules

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More resources
atotiBrytlytFirebase Realtime DatabaseSurrealDB
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