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DBMS > Amazon Redshift vs. Google Cloud Bigtable vs. Microsoft Azure Cosmos DB vs. NSDb

System Properties Comparison Amazon Redshift vs. Google Cloud Bigtable vs. Microsoft Azure Cosmos DB vs. NSDb

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Globally distributed, horizontally scalable, multi-model database serviceScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSKey-value store
Wide column store
Document store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.07
Rank#369  Overall
#40  Time Series DBMS
Websiteaws.amazon.com/­redshiftcloud.google.com/­bigtableazure.microsoft.com/­services/­cosmos-dbnsdb.io
Technical documentationdocs.aws.amazon.com/­redshiftcloud.google.com/­bigtable/­docslearn.microsoft.com/­azure/­cosmos-dbnsdb.io/­Architecture
DeveloperAmazon (based on PostgreSQL)GoogleMicrosoft
Initial release2012201520142017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, Scala
Server operating systemshostedhostedhostedLinux
macOS
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesyes: int, bigint, decimal, string
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 indexesrestrictednoyes infoAll properties auto-indexed by defaultall fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Java
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PythonnoJavaScriptno
TriggersnonoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item level

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More resources
Amazon RedshiftGoogle Cloud BigtableMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNSDb
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