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DBMS > Dgraph vs. Google Cloud Firestore vs. Immudb vs. ScyllaDB

System Properties Comparison Dgraph vs. Google Cloud Firestore vs. Immudb vs. ScyllaDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonImmudb  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSCloud 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.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Cassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMSDocument storeKey-value storeWide column store
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.24
Rank#305  Overall
#43  Key-value stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitedgraph.iofirebase.google.com/­products/­firestoregithub.com/­codenotary/­immudb
immudb.io
www.scylladb.com
Technical documentationdgraph.io/­docsfirebase.google.com/­docs/­firestoredocs.immudb.iodocs.scylladb.com
DeveloperDgraph Labs, Inc.GoogleCodenotaryScyllaDB
Initial release2016201720202015
Current release1.2.3, April 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoGoC++
Server operating systemsLinux
OS X
Windows
hostedBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Data schemeschema-freeschema-freeschema-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.nononono
Secondary indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnonoSQL-like syntaxSQL-like DML and DDL statements (CQL)
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Go
Java
JavaScript (Node.js)
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnoyes, Lua
Triggersnoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoin-memory tables
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users can be defined per object
More information provided by the system vendor
DgraphGoogle Cloud FirestoreImmudbScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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DgraphGoogle Cloud FirestoreImmudbScyllaDB
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