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DBMS > Alibaba Cloud Table Store vs. Amazon DocumentDB vs. searchxml vs. Tarantool

System Properties Comparison Alibaba Cloud Table Store vs. Amazon DocumentDB vs. searchxml vs. Tarantool

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonsearchxml  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDBMS for structured and unstructured content wrapped with an application serverIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelWide column storeDocument storeNative XML DBMS
Search engine
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score1.91
Rank#131  Overall
#24  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­documentdbwww.searchxml.net/­category/­productswww.tarantool.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreaws.amazon.com/­documentdb/­resourceswww.searchxml.net/­support/­handoutswww.tarantool.io/­en/­doc
DeveloperAlibabainformationpartners gmbhVK
Initial release2016201920152008
Current release1.02.10.0, May 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++
Server operating systemshostedhostedWindowsBSD
Linux
macOS
Data schemeschema-freeschema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnononoFull-featured ANSI SQL support
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)RESTful HTTP API
WebDAV
XQuery
XSLT
Open binary protocol
Supported programming languagesJava
Python
Go
Java
JavaScript (Node.js)
PHP
Python
C++ infomost other programming languages supported via APIsC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoyes infoon the application serverLua, C and SQL stored procedures
Triggersnononoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infosychronisation to multiple collectionsAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic single-document operationsmultiple readers, single writerACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and rolesDomain, group and role-based access control at the document level and for application servicesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
Alibaba Cloud Table StoreAmazon DocumentDBsearchxmlTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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