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DBMS > Google Cloud Bigtable vs. Hive vs. Microsoft Azure SQL Database vs. ObjectBox vs. Solr

System Properties Comparison Google Cloud Bigtable vs. Hive vs. Microsoft Azure SQL Database vs. ObjectBox vs. Solr

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonObjectBox  Xexclude from comparisonSolr  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.data warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering with high compatibility to Microsoft SQL ServerExtremely fast embedded database for small devices, IoT and MobileA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store
Wide column store
Relational DBMSRelational DBMSObject oriented DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitecloud.google.com/­bigtablehive.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaseobjectbox.iosolr.apache.org
Technical documentationcloud.google.com/­bigtable/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­en-us/­azure/­azure-sqldocs.objectbox.iosolr.apache.org/­resources.html
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookMicrosoftObjectBox LimitedApache Software Foundation
Initial release20152012201020172006
Current release3.1.3, April 2022V129.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache License 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++Java
Server operating systemshostedAll OS with a Java VMhostedAndroid
iOS
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyesyes infosupports customizable data types and automatic 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.noyesnoyes
Secondary indexesnoyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesnoSolr Parallel SQL Interface
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Proprietary native APIJava API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceTransact SQLnoJava plugins
Triggersnonoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factoryes, with always 3 replicas availableonline/offline synchronization between client and serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standardyesyes
More information provided by the system vendor
Google Cloud BigtableHiveMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxSolr
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More resources
Google Cloud BigtableHiveMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxSolr
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