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DBMS > Google Cloud Bigtable vs. Oracle vs. Rockset vs. VictoriaMetrics

System Properties Comparison Google Cloud Bigtable vs. Oracle vs. Rockset vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonOracle  Xexclude from comparisonRockset  Xexclude from comparisonVictoriaMetrics  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.Widely used RDBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value store
Wide column store
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitecloud.google.com/­bigtablewww.oracle.com/­databaserockset.comvictoriametrics.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­databasedocs.rockset.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGoogleOracleRocksetVictoriaMetrics
Initial release2015198020192018
Current release23c, September 2023v1.91, May 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Go
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
hostedFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyes infoSchemaless in JSON and XML columnsschema-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.noyesno infoingestion from XML files supportedno
Secondary indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLnoyes infowith proprietary extensionsRead-only SQL queries, including JOINsno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP RESTGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPL/SQL infoalso stored procedures in Java possiblenono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
yesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan be realized in PL/SQLnono
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoisolation level can be parameterizednono
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.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Google Cloud BigtableOracleRocksetVictoriaMetrics
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Conferences, events and webinars

Oracle Cloud World
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