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DBMS > Amazon Redshift vs. Google BigQuery vs. Graph Engine vs. Microsoft Azure AI Search vs. TerarkDB

System Properties Comparison Amazon Redshift vs. Google BigQuery vs. Graph Engine vs. Microsoft Azure AI Search vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsLarge scale data warehouse service with append-only tablesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSearch-as-a-service for web and mobile app developmentA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Search engineKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score0.64
Rank#241  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.72
Rank#66  Overall
#8  Search engines
Score0.06
Rank#377  Overall
#57  Key-value stores
Websiteaws.amazon.com/­redshiftcloud.google.com/­bigquerywww.graphengine.ioazure.microsoft.com/­en-us/­services/­searchgithub.com/­bytedance/­terarkdb
Technical documentationdocs.aws.amazon.com/­redshiftcloud.google.com/­bigquery/­docswww.graphengine.io/­docs/­manuallearn.microsoft.com/­en-us/­azure/­searchbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazon (based on PostgreSQL)GoogleMicrosoftMicrosoftByteDance, originally Terark
Initial release20122010201020152016
Current releaseV1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC.NET and CC++
Server operating systemshostedhosted.NEThosted
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesrestrictednoyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIRESTful HTTP APIRESTful HTTP APIC++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C#
Java
JavaScript
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions infoin JavaScriptyesnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing Azure authenticationno

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More resources
Amazon RedshiftGoogle BigQueryGraph Engine infoformer name: TrinityMicrosoft Azure AI SearchTerarkDB
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