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DBMS > Google BigQuery vs. Hazelcast vs. Microsoft Azure AI Search vs. NuoDB vs. Yaacomo

System Properties Comparison Google BigQuery vs. Hazelcast vs. Microsoft Azure AI Search vs. NuoDB vs. Yaacomo

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNuoDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionLarge scale data warehouse service with append-only tablesA widely adopted in-memory data gridSearch-as-a-service for web and mobile app developmentNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value storeSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitecloud.google.com/­bigqueryhazelcast.comazure.microsoft.com/­en-us/­services/­searchwww.3ds.com/­nuodb-distributed-sql-databaseyaacomo.com
Technical documentationcloud.google.com/­bigquery/­docshazelcast.org/­imdg/­docslearn.microsoft.com/­en-us/­azure/­searchdoc.nuodb.com
DeveloperGoogleHazelcastMicrosoftDassault Systèmes infooriginally NuoDB, Inc.Q2WEB GmbH
Initial release20102008201520132009
Current release5.3.6, November 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infolimited edition freecommercial
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++
Server operating systemshostedAll OS with a Java VMhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infothe object must implement a serialization strategynonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languagenoyesyes
APIs and other access methodsRESTful HTTP/JSON APIJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
JavaScript
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoEvent Listeners, Executor ServicesnoJava, SQL
Triggersnoyes infoEventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicedata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoImplicit feature of the cloud serviceyes infoManaged transparently by NuoDBSource-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 Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataone or two-phase-commit; repeatable reads; read commitednoACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.noyesnoyes infoTemporary tableyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role-based access controlyes infousing Azure authenticationStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standard

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More resources
Google BigQueryHazelcastMicrosoft Azure AI SearchNuoDBYaacomo
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