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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon Aurora vs. GigaSpaces vs. Microsoft SQL Server vs. Vertica

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon Aurora vs. GigaSpaces vs. Microsoft SQL Server vs. Vertica

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumMySQL and PostgreSQL compatible cloud service by AmazonHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMicrosofts flagship relational DBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument storeGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#231  Overall
#105  Relational DBMS
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlaws.amazon.com/­rds/­aurorawww.gigaspaces.comwww.microsoft.com/­en-us/­sql-serverwww.vertica.com
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-US/­sql/­sql-serververtica.com/­documentation
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupAmazonGigaspaces TechnologiesMicrosoftOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20162015200019892005
Current release15.5, September 2020SQL Server 2022, November 202212.0.3, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availablecommercial inforestricted free version is availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++C++
Server operating systemshostedhostedLinux
macOS
Solaris
Windows
Linux
Windows
Linux
Data schemeyesyesschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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.yesyesno infoXML can be used for describing objects metadatayesno
Secondary indexesyesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesyesSQL-99 for query and DML statementsyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
Java
Perl
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Java
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesyesyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesyes, event driven architectureyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes, but depending on the SQL-Server EditionMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
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.noyesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBAmazon AuroraGigaSpacesMicrosoft SQL ServerVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBAmazon AuroraGigaSpacesMicrosoft SQL ServerVertica infoOpenText™ Vertica™
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