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DBMS > Google Cloud Bigtable vs. Rockset vs. StarRocks

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonRockset  Xexclude from comparisonStarRocks  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.A scalable, reliable search and analytics service in the cloud, built on RocksDBAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelKey-value store
Wide column store
Document storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#85  Overall
#11  Key-value stores
#7  Wide column stores
Score0.93
Rank#194  Overall
#32  Document stores
Score1.07
Rank#176  Overall
#80  Relational DBMS
Websitecloud.google.com/­bigtablerockset.comwww.starrocks.io
Technical documentationcloud.google.com/­bigtable/­docsdocs.rockset.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGoogleRocksetThe Linux Foundation infosince Feb 2023
Initial release201520192020
Current release3.3, June 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java
Server operating systemshostedhostedLinux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenodynamic typingyes
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.nono infoingestion from XML files supportedno
Secondary indexesnoall fields are automatically indexedyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP RESTJDBC
MySQL protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes
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)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnono
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)Access rights for users and organizations can be defined via Rockset consoleRole based access control and fine grained access rights

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More resources
Google Cloud BigtableRocksetStarRocks
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