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DBMS > Google Cloud Bigtable vs. ObjectBox vs. Rockset

System Properties Comparison Google Cloud Bigtable vs. ObjectBox vs. Rockset

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonObjectBox  Xexclude from comparisonRockset  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.Extremely fast embedded database for small devices, IoT and MobileA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value store
Wide column store
Object oriented DBMSDocument store
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Websitecloud.google.com/­bigtableobjectbox.iorockset.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.objectbox.iodocs.rockset.com
DeveloperGoogleObjectBox LimitedRockset
Initial release201520172019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
hosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesdynamic 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.nonono infoingestion from XML files supported
Secondary indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINs
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary native APIHTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesonline/offline synchronization between client and serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Google Cloud BigtableObjectBoxRockset
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More resources
Google Cloud BigtableObjectBoxRockset
Recent citations in the news

Google's AI-First Strategy Brings Vector Support To Cloud Databases
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What is Google Bigtable? | Definition from TechTarget
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Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
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Google Cloud makes it cheaper to run smaller workloads on Bigtable
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