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DBMS > Google Cloud Datastore vs. Manticore Search vs. ObjectBox vs. TigerGraph

System Properties Comparison Google Cloud Datastore vs. Manticore Search vs. ObjectBox vs. TigerGraph

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonManticore Search  Xexclude from comparisonObjectBox  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMulti-storage database for search, including full-text search.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeSearch engineObject oriented DBMS
Vector DBMS
Graph DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitecloud.google.com/­datastoremanticoresearch.comgithub.com/­objectbox
objectbox.io
www.tigergraph.com
Technical documentationcloud.google.com/­datastore/­docsmanual.manticoresearch.comdocs.objectbox.iodocs.tigergraph.com
DeveloperGoogleManticore SoftwareObjectBox Limited
Initial release2008201720172017
Current release6.0, February 20234.0 (May 2024)
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Bindings are released under Apache 2.0 infoApache License 2.0commercial
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 languageC++C and C++C++
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyes, details hereInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes, plus "flex" map-like typesyes
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 indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languagenoSQL-like query language (GSQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary native APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C++
Java
Server-side scripts infoStored proceduresusing Google App Engineuser defined functionsnoyes
TriggersCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSynchronous replication based on Galera libraryData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
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)noyesRole-based access control
More information provided by the system vendor
Google Cloud DatastoreManticore SearchObjectBoxTigerGraph
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29 May 2024

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23 May 2024

On-device Vector Database for Dart/Flutter
21 May 2024

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More resources
Google Cloud DatastoreManticore SearchObjectBoxTigerGraph
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