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DBMS > Amazon DocumentDB vs. Manticore Search vs. PlanetScale vs. TerminusDB

System Properties Comparison Amazon DocumentDB vs. Manticore Search vs. PlanetScale vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonManticore Search  Xexclude from comparisonPlanetScale  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMulti-storage database for search, including full-text search.Scalable, distributed, serverless MySQL database platform built on top of VitessScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeSearch engineRelational DBMSGraph DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websiteaws.amazon.com/­documentdbmanticoresearch.complanetscale.comterminusdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesmanual.manticoresearch.complanetscale.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperManticore SoftwarePlanetScaleDataChemist Ltd.
Initial release2019201720202018
Current release6.0, February 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoProlog, Rust
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Docker
Linux
macOS
Linux
Data schemeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensionsSQL-like query language (WOQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
MySQL protocol
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infoproprietary syntaxyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingGraph Partitioning
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 libraryMulti-source replication
Source-replica replication
Journaling Streams
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 across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes infoisolated transactions for atomic changes and binary logging for safe writesACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoin-memory journaling
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 rolesnoUsers with fine-grained authorization concept infono user groups or rolesRole-based access control

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More resources
Amazon DocumentDBManticore SearchPlanetScaleTerminusDB infoformer name was DataChemist
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