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DBMS > Amazon DocumentDB vs. GeoSpock vs. Manticore Search vs. Riak KV

System Properties Comparison Amazon DocumentDB vs. GeoSpock vs. Manticore Search vs. Riak KV

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonManticore Search  Xexclude from comparisonRiak KV  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSpatial and temporal data processing engine for extreme data scaleMulti-storage database for search, including full-text search.Distributed, fault tolerant key-value store
Primary database modelDocument storeRelational DBMSSearch engineKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteaws.amazon.com/­documentdbgeospock.commanticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesmanual.manticoresearch.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGeoSpockManticore SoftwareOpenSource, formerly Basho Technologies
Initial release201920172009
Current release2.0, September 20196.0, February 20233.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++Erlang
Server operating systemshostedhostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Data schemeschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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.nonoCan index from XMLno
Secondary indexesyestemporal, categoricalyes infofull-text index on all search fieldsrestricted
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Native Erlang Interface
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonouser defined functionsErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSynchronous replication based on Galera libraryselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per tablenoyes, using Riak Security

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More resources
Amazon DocumentDBGeoSpockManticore SearchRiak KV
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