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DBMS > Amazon DocumentDB vs. LeanXcale vs. Transwarp KunDB vs. Yanza

System Properties Comparison Amazon DocumentDB vs. LeanXcale vs. Transwarp KunDB vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonTranswarp KunDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOLTP DBMS based on a distributed architecture and highly compatible with MySQL and OracleTime Series DBMS for IoT Applications
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.leanxcale.comwww.transwarp.cn/­en/­product/­kundbyanza.com
Technical documentationaws.amazon.com/­documentdb/­resources
DeveloperLeanXcaleTranswarpYanza
Initial release201920152015
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedWindows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLnoyes infothrough Apache Derbyyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
Java
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
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.yes
User concepts infoAccess controlAccess rights for users and rolesyesno

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More resources
Amazon DocumentDBLeanXcaleTranswarp KunDBYanza
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