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DBMS > atoti vs. Firebase Realtime Database vs. Google Cloud Datastore vs. Stardog vs. Yaacomo

System Properties Comparison atoti vs. Firebase Realtime Database vs. Google Cloud Datastore vs. Stardog vs. Yaacomo

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonStardog  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelObject oriented DBMSDocument storeDocument storeGraph DBMS
RDF store
Relational 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
Score4.47
Rank#76  Overall
#12  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteatoti.iofirebase.google.com/­products/­realtime-databasecloud.google.com/­datastorewww.stardog.comyaacomo.com
Technical documentationdocs.atoti.iofirebase.google.com/­docs/­databasecloud.google.com/­datastore/­docsdocs.stardog.com
DeveloperActiveViamGoogle infoacquired by Google 2014GoogleStardog-UnionQ2WEB GmbH
Initial release2012200820102009
Current release7.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedhostedLinux
macOS
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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 infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like query language (GQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresPythonlimited functionality with using 'rules'using Google App Engineuser defined functions and aggregates, HTTP Server extensions in Java
TriggersCallbacks are triggered when data changesCallbacks using the Google Apps Engineyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication in HA-ClusterSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
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 or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
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.yesnoyesyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesfine grained access rights according to SQL-standard

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More resources
atotiFirebase Realtime DatabaseGoogle Cloud DatastoreStardogYaacomo
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