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DBMS > Google BigQuery vs. HBase vs. ObjectBox vs. SwayDB vs. Teradata

System Properties Comparison Google BigQuery vs. HBase vs. ObjectBox vs. SwayDB vs. Teradata

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHBase  Xexclude from comparisonObjectBox  Xexclude from comparisonSwayDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesWide-column store based on Apache Hadoop and on concepts of BigTableExtremely fast embedded database for small devices, IoT and MobileAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSWide column storeObject oriented DBMSKey-value storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitecloud.google.com/­bigqueryhbase.apache.orgobjectbox.ioswaydb.simer.auwww.teradata.com
Technical documentationcloud.google.com/­bigquery/­docshbase.apache.org/­book.htmldocs.objectbox.iodocs.teradata.com
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetObjectBox LimitedSimer PlahaTeradata
Initial release20102008201720181984
Current release2.3.4, January 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache License 2.0Open Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Scala
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Android
iOS
Linux
macOS
Windows
hosted
Linux
Data schemeyesschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesnoyes
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.nonononoyes
Secondary indexesnonoyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesnononoyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP API
Thrift
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Java
Kotlin
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoCoprocessors in Javanonoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
online/offline synchronization between client and servernoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataSingle row ACID (across millions of columns)ACIDAtomic execution of operationsACID
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.noyesnoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Google BigQueryHBaseObjectBoxSwayDBTeradata
News

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16 May 2024

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23 April 2024

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15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

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More resources
Google BigQueryHBaseObjectBoxSwayDBTeradata
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