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DBMS > atoti vs. Firebase Realtime Database vs. GridDB vs. MonetDB vs. Qdrant

System Properties Comparison atoti vs. Firebase Realtime Database vs. GridDB vs. MonetDB vs. Qdrant

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridDB  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable in-memory time series database optimized for IoT and Big DataA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelObject oriented DBMSDocument storeTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteatoti.iofirebase.google.com/­products/­realtime-databasegriddb.netwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.atoti.iofirebase.google.com/­docs/­databasedocs.griddb.netwww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperActiveViamGoogle infoacquired by Google 2014Toshiba CorporationMonetDB BVQdrant
Initial release2012201320042021
Current release5.1, August 2022Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CRust
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesNumbers, Strings, Geo, Boolean
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.nonono
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL 2003 with some extensionsno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesJava
JavaScript
Objective-C
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonlimited functionality with using 'rules'noyes, in SQL, C, R
TriggersCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoSource-replica replication available in experimental statusCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency within container, eventual consistency across containersEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesyesyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
atotiFirebase Realtime DatabaseGridDBMonetDBQdrant
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
atotiFirebase Realtime DatabaseGridDBMonetDBQdrant
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