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DBMS > Google Cloud Bigtable vs. Manticore Search vs. Microsoft Azure AI Search vs. ObjectBox

System Properties Comparison Google Cloud Bigtable vs. Manticore Search vs. Microsoft Azure AI Search vs. ObjectBox

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Multi-storage database for search, including full-text search.Search-as-a-service for web and mobile app developmentExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelKey-value store
Wide column store
Search engineSearch engineObject oriented DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.29
Rank#302  Overall
#21  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitecloud.google.com/­bigtablemanticoresearch.comazure.microsoft.com/­en-us/­services/­searchobjectbox.io
Technical documentationcloud.google.com/­bigtable/­docsmanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­searchdocs.objectbox.io
DeveloperGoogleManticore SoftwareMicrosoftObjectBox Limited
Initial release2015201720152017
Current release6.0, February 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen Source infoApache License 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++C and C++
Server operating systemshostedFreeBSD
Linux
macOS
Windows
hostedAndroid
iOS
Linux
macOS
Windows
Data schemeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or datenoInt, 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 XMLnono
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIProprietary native API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud serviceonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes infousing Azure authenticationyes
More information provided by the system vendor
Google Cloud BigtableManticore SearchMicrosoft Azure AI SearchObjectBox
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More resources
Google Cloud BigtableManticore SearchMicrosoft Azure AI SearchObjectBox
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