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DBMS > AntDB vs. Google Cloud Firestore vs. Ignite vs. Rockset

System Properties Comparison AntDB vs. Google Cloud Firestore vs. Ignite vs. Rockset

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIgnite  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleCloud 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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSDocument storeKey-value store
Relational DBMS
Document store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#303  Overall
#137  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlfirebase.google.com/­products/­firestoreignite.apache.orgrockset.com
Technical documentationfirebase.google.com/­docs/­firestoreapacheignite.readme.io/­docsdocs.rockset.com
Social network pagesLinkedInTwitterFacebook
DeveloperAsiaInfo Technologies LimitedGoogleApache Software FoundationRockset
Initial release201720152019
Current releaseApache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC++
Server operating systemshostedLinux
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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.noyesno infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL2016 compliantnoANSI-99 for query and DML statements, subset of DDLRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)no
Triggersyesyes, with Cloud Functionsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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.Security Hooks for custom implementationsAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
AntDBGoogle Cloud FirestoreIgniteRockset
Specific characteristicsAntDB was initiated in 2008. On the core system of operators, AntDB provides online...
» more
Competitive advantagesHTAP mixed load: AntDB is a universal, enterprise-level distributed relational database,...
» more
Typical application scenariosAs the core software of large enterprise, AntDB supports multi-scenario deployment....
» more
Key customersChina Mobile, China Telecom, China Unicom, Aeon Life, China Mobile Tietong, CITIC...
» more
Market metricsMore than 1 billion subscribers in 24 provinces across China are served by AntDB...
» more
Licensing and pricing modelsCertificates and licenses CMMI5 Certificate licensed by CMMI Institute IT Product...
» more

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More resources
AntDBGoogle Cloud FirestoreIgniteRockset
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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