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DBMS > Amazon DocumentDB vs. Google Cloud Firestore vs. Manticore Search vs. OpenTSDB vs. SiriDB

System Properties Comparison Amazon DocumentDB vs. Google Cloud Firestore vs. Manticore Search vs. OpenTSDB vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonManticore Search  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Multi-storage database for search, including full-text search.Scalable Time Series DBMS based on HBaseOpen Source Time Series DBMS
Primary database modelDocument storeDocument storeSearch engineTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websiteaws.amazon.com/­documentdbfirebase.google.com/­products/­firestoremanticoresearch.comopentsdb.netsiridb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesfirebase.google.com/­docs/­firestoremanual.manticoresearch.comopentsdb.net/­docs/­build/­html/­index.htmldocs.siridb.com
DeveloperGoogleManticore Softwarecurrently maintained by Yahoo and other contributorsCesbit
Initial release20192017201720112017
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoLGPLOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC
Server operating systemshostedhostedFreeBSD
Linux
macOS
Windows
Linux
Windows
Linux
Data schemeschema-freeschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannumeric data for metrics, strings for tagsyes infoNumeric data
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 XMLnono
Secondary indexesyesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnonoSQL-like query languagenono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Telnet API
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Erlang
Go
Java
Python
R
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsuser defined functionsnono
Triggersnoyes, with Cloud Functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationSynchronous replication based on Galera libraryselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Using Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesyes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nonosimple rights management via user accounts

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More resources
Amazon DocumentDBGoogle Cloud FirestoreManticore SearchOpenTSDBSiriDB
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