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DBMS > Google Cloud Datastore vs. IBM Cloudant vs. Manticore Search vs. SiriDB vs. TigerGraph

System Properties Comparison Google Cloud Datastore vs. IBM Cloudant vs. Manticore Search vs. SiriDB vs. TigerGraph

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonManticore Search  Xexclude from comparisonSiriDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering based on Apache CouchDBMulti-storage database for search, including full-text search.Open Source Time Series DBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeDocument storeSearch engineTime Series DBMSGraph DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitecloud.google.com/­datastorewww.ibm.com/­products/­cloudantmanticoresearch.comsiridb.comwww.tigergraph.com
Technical documentationcloud.google.com/­datastore/­docscloud.ibm.com/­docs/­Cloudantmanual.manticoresearch.comdocs.siridb.comdocs.tigergraph.com
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Manticore SoftwareCesbit
Initial release20082010201720172017
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoMIT Licensecommercial
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 languageErlangC++CC++
Server operating systemshostedhostedFreeBSD
Linux
macOS
Windows
LinuxLinux
Data schemeschema-freeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyes, details herenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infoNumeric datayes
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 fieldsyes
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like query languagenoSQL-like query language (GSQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP/JSON APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Server-side scripts infoStored proceduresusing Google App EngineView functions (Map-Reduce) in JavaScriptuser defined functionsnoyes
TriggersCallbacks using the Google Apps Engineyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Synchronous replication based on Galera libraryyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnonoyes
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.Eventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno infoatomic operations within a document possibleyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
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.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databasenosimple rights management via user accountsRole-based access control

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More resources
Google Cloud DatastoreIBM CloudantManticore SearchSiriDBTigerGraph
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