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DBMS > Google Cloud Firestore vs. HugeGraph vs. Manticore Search vs. Microsoft Azure Table Storage vs. Oracle Rdb

System Properties Comparison Google Cloud Firestore vs. HugeGraph vs. Manticore Search vs. Microsoft Azure Table Storage vs. Oracle Rdb

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHugeGraph  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionCloud 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.A fast-speed and highly-scalable Graph DBMSMulti-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument storeGraph DBMSSearch engineWide column storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitefirebase.google.com/­products/­firestoregithub.com/­hugegraph
hugegraph.apache.org
manticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationfirebase.google.com/­docs/­firestorehugegraph.apache.org/­docsmanual.manticoresearch.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperGoogleBaiduManticore SoftwareMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20172018201720121984
Current release0.96.0, February 20237.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinux
macOS
Unix
FreeBSD
Linux
macOS
Windows
hostedHP Open VMS
Data schemeschema-freeyesFixed schemaschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesInt, 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.nonoCan index from XMLnono
Secondary indexesyesyes infoalso supports composite index and range indexyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnonoSQL-like query languagenoyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsasynchronous Gremlin script jobsuser defined functionsno
Triggersyes, with Cloud Functionsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingyes, on a single node
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.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissionsnoAccess rights based on private key authentication or shared access signatures

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More resources
Google Cloud FirestoreHugeGraphManticore SearchMicrosoft Azure Table StorageOracle Rdb
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