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

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonManticore Search  Xexclude from comparisonPlanetScale  Xexclude from comparisonQuestDB  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 VitessA high performance open source SQL database for time series data
Primary database modelDocument storeSearch engineRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.23
Rank#301  Overall
#21  Search engines
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websiteaws.amazon.com/­documentdbmanticoresearch.complanetscale.comquestdb.io
Technical documentationaws.amazon.com/­documentdb/­resourcesmanual.manticoresearch.complanetscale.com/­docsquestdb.io/­docs
DeveloperManticore SoftwarePlanetScaleQuestDB Technology Inc
Initial release2019201720202014
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJava (Zero-GC), C++, Rust
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Docker
Linux
macOS
Linux
macOS
Windows
Data schemeschema-freeFixed schemayesyes infoschema-free via InfluxDB Line Protocol
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 fieldsyesno
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensionsSQL with time-series extensions
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
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
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
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnouser defined functionsyes infoproprietary syntaxno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardinghorizontal partitioning (by timestamps)
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
Source-replica replication with eventual consistency
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
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes infonot for MyISAM storage engineno
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 for single-table writes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and rolesnoUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Amazon DocumentDBManticore SearchPlanetScaleQuestDB
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More resources
Amazon DocumentDBManticore SearchPlanetScaleQuestDB
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