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DBMS > Amazon DynamoDB vs. Manticore Search vs. Microsoft Azure Cosmos DB vs. SQLite

System Properties Comparison Amazon DynamoDB vs. Manticore Search vs. Microsoft Azure Cosmos DB vs. SQLite

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudMulti-storage database for search, including full-text search.Globally distributed, horizontally scalable, multi-model database serviceWidely used embeddable, in-process RDBMS
Primary database modelDocument store
Key-value store
Search engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.26
Rank#312  Overall
#21  Search engines
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score118.16
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­dynamodbmanticoresearch.comazure.microsoft.com/­services/­cosmos-dbwww.sqlite.org
Technical documentationdocs.aws.amazon.com/­dynamodbmanual.manticoresearch.comlearn.microsoft.com/­azure/­cosmos-dbwww.sqlite.org/­docs.html
DeveloperAmazonManticore SoftwareMicrosoftDwayne Richard Hipp
Initial release2012201720142000
Current release6.0, February 20233.45.2  (12 March 2024), March 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoGPL version 2commercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemshostedFreeBSD
Linux
macOS
Windows
hostedserver-less
Data schemeschema-freeFixed schemaschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infoJSON typesyes infonot rigid because of 'dynamic typing' concept.
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.Can index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnouser defined functionsJavaScriptno
Triggersyes infoby integration with AWS LambdanoJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionyes infoisolated transactions for atomic changes and binary logging for safe writesMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
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 roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights can be defined down to the item levelno

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More resources
Amazon DynamoDBManticore SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSQLite
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