DB-EnginesEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Galaxybase vs. Microsoft Azure Cosmos DB vs. ScyllaDB

System Properties Comparison Galaxybase vs. Microsoft Azure Cosmos DB vs. ScyllaDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGalaxybase  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionScalable, ACID-compliant native distributed parallel graph platformGlobally distributed, horizontally scalable, multi-model database serviceCassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Wide column store
Secondary database modelsSpatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#37  Graph DBMS
Score27.12
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score3.84
Rank#75  Overall
#5  Wide column stores
Websitegalaxybase.comazure.microsoft.com/­services/­cosmos-dbwww.scylladb.com
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbdocs.scylladb.com
DeveloperChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司MicrosoftScyllaDB
Initial release201720142015
Current releaseNov 20, November 2021ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
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 languageC and JavaC++
Server operating systemsLinuxhostedLinux
Data schemeStrong typed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes
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.nono
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes infocluster global secondary indices
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statements (CQL)
APIs and other access methodsBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesGo
Java
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
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 proceduresuser defined procedures and functionsJavaScriptyes, Lua
TriggersJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infoin-memory tables
User concepts infoAccess controlRole-based access controlAccess rights can be defined down to the item levelAccess rights for users can be defined per object
More information provided by the system vendor
GalaxybaseMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBScyllaDB
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GalaxybaseMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBScyllaDB
Recent citations in the news

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, Microsoft

Public Preview: DiskANN vector indexing and search in Azure Cosmos DB NoSQL
21 May 2024, Microsoft

How to use Azure Cosmos DB in .Net
10 July 2024, InfoWorld

Public preview: Filtered vector search in vCore-based Azure Cosmos DB for MongoDB
24 April 2024, Microsoft

Public Preview: vCore-based Azure Cosmos DB for MongoDB cross-region disaster recovery (DR)
21 May 2024, Microsoft

provided by Google News

ScyllaDB 6 Adds Node Distribution Feature
24 June 2024, iProgrammer

Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla
26 April 2024, InfoQ.com

ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels
17 October 2023, Datanami

ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale
6 January 2023, AWS Blog

ScyllaDB Database Review
21 August 2018, eWeek

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here