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DBMS > Amazon DocumentDB vs. CrateDB vs. Manticore Search vs. SiteWhere

System Properties Comparison Amazon DocumentDB vs. CrateDB vs. Manticore Search vs. SiteWhere

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCrateDB  Xexclude from comparisonManticore Search  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDistributed Database based on LuceneMulti-storage database for search, including full-text search.M2M integration platform for persisting/querying time series data
Primary database modelDocument storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Search engineTime Series DBMS
Secondary database modelsRelational DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websiteaws.amazon.com/­documentdbcratedb.commanticoresearch.comgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­documentdb/­resourcescratedb.com/­docsmanual.manticoresearch.comsitewhere1.sitewhere.io/­index.html
DeveloperCrateManticore SoftwareSiteWhere
Initial release2019201320172010
Current release5.8.1, August 20246.0, February 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL version 2Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)Fixed schemapredefined scheme
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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 indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions (Javascript)user defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasConfigurable replication on table/partition-levelSynchronous replication based on Galera libraryselectable replication factor infobased on HBase
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 ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infounique row identifiers can be used for implementing an optimistic concurrency control strategyyes 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.nono
User concepts infoAccess controlAccess rights for users and rolesrights management via user accountsnoUsers with fine-grained authorization concept

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More resources
Amazon DocumentDBCrateDBManticore SearchSiteWhere
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Unlock the power of parallel indexing in Amazon DocumentDB
19 June 2024, AWS Blog

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