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DBMS > Alibaba Cloud Table Store vs. Amazon DynamoDB vs. Amazon Neptune vs. Couchbase vs. RavenDB

System Properties Comparison Alibaba Cloud Table Store vs. Amazon DynamoDB vs. Amazon Neptune vs. Couchbase vs. RavenDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHosted, scalable database service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the cloudA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeDocument store
Key-value store
Graph DBMS
RDF store
Document storeDocument store
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score16.59
Rank#36  Overall
#5  Document stores
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­dynamodbaws.amazon.com/­neptunewww.couchbase.comravendb.net
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­dynamodbaws.amazon.com/­neptune/­developer-resourcesdocs.couchbase.comravendb.net/­docs
DeveloperAlibabaAmazonAmazonCouchbase, Inc.Hibernating Rhinos
Initial release20162012201720112010
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20235.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationscommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, Go and ErlangC#
Server operating systemshostedhostedhostedLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesnoyesnoyesyes
SQL infoSupport of SQLnononoSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesSQL-like query language (RQL)
APIs and other access methodsHTTP APIRESTful HTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJava
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++yes
Triggersnoyes infoby integration with AWS Lambdanoyes infovia the TAP protocolyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneAutomatic ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication infoincluding cross data center replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoACID across one or more tables within a single AWS account and regionACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoEphemeral buckets
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Authorization levels configured per client per database

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More resources
Alibaba Cloud Table StoreAmazon DynamoDBAmazon NeptuneCouchbase infoOriginally called MembaseRavenDB
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