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DBMS > Amazon DocumentDB vs. Google Search Appliance vs. TerarkDB

System Properties Comparison Amazon DocumentDB vs. Google Search Appliance vs. TerarkDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceThe Google Search Appliance consists of hardware and software for indexing documents in local networks.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#182  Overall
#26  Document stores
Score2.77
Rank#94  Overall
#10  Search engines
Score0.06
Rank#315  Overall
#54  Key-value stores
Websiteaws.amazon.com/­documentdbenterprise.google.com/­search/­products/­gsa.htmlgithub.com/­Terark/­terarkdb
Technical documentationaws.amazon.com/­documentdb/­resourcessupport.google.com/­gsagithub.com/­Terark/­terarkdb/­wiki
DeveloperGoogleTerark
Initial release201920022016
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Administrative API
Browser interface
HTTP API
C++ API
Java API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
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.noyes
User concepts infoAccess controlAccess rights for users and rolesUser authentication via various security protocolsno

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More resources
Amazon DocumentDBGoogle Search ApplianceTerarkDB
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