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DBMS > Amazon Aurora vs. Atos Standard Common Repository vs. GigaSpaces vs. Vertica

System Properties Comparison Amazon Aurora vs. Atos Standard Common Repository vs. GigaSpaces vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud or on-premises 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 DBMSDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMS infoColumn oriented
Secondary database modelsDocument storeGraph DBMS
Search engine
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.46
Rank#45  Overall
#29  Relational DBMS
Score0.97
Rank#175  Overall
#30  Document stores
#6  Object oriented DBMS
Score19.29
Rank#38  Overall
#24  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comwww.vertica.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.gigaspaces.com/­latest/­landing.htmlvertica.com/­documentation
DeveloperAmazonAtos Convergence CreatorsGigaspaces TechnologiesMicro Focus infoprior to that Hewlett Packard
Initial release2015201620002005
Current release170315.5, September 202011.1, February 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.
Implementation languageJavaJava, C++, .NetC++
Server operating systemshostedLinuxLinux
macOS
Solaris
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesoptionalyesyes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRY
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 metadatano
Secondary indexesyesyesyesNo Indexes Required
SQL infoSupport of SQLyesnoSQL-99 for query and DML statementsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
ODBC
LDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages with LDAP bindings.Net
C++
Java
Python
Scala
C#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesnoyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesyes, event driven architectureyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-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 methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon AuroraAtos Standard Common RepositoryGigaSpacesVertica infoVertica Analytics Platform
Specific characteristicsGigaSpaces, the pioneer of In-Memory Computing , drives enterprise digital transformation...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more
Competitive advantages​ AI Driven Autonomous Operations – GigaSpaces’ unique AI driven technology simplifies...
» more
Fast, scalable and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosApplication Acceleration, Smart Caching, BI Acceleration on Fresh Data, Digital Integration...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersMorgan Stanley, Bank of America, Goldman Sachs, PriceRunner, Cerner, Societe Generale,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsForrester has positioned GigaSpaces as a strong performer in The Forrester Wave™:...
» more
Licensing and pricing modelsGigaSpaces offers both open source and commercial editions with annual subscriptions....
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
Amazon AuroraAtos Standard Common RepositoryGigaSpacesVertica infoVertica Analytics Platform
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Job opportunities

Software Development Engineer - Amazon Aurora
Amazon.com Services LLC, Seattle, WA

Senior Product Manager - Technical, Amazon Aurora PostgreSQL
Amazon Dev Center U.S., Inc., Remote

Cloud Support Engineer I - Databases, Premium Support
Amazon Web Services, Inc., Remote

Software Development Manager - Amazon Aurora
Amazon Web Services, Inc., Seattle, WA

Sr. Partner SA, Databases
Amazon Web Services, Inc., Minneapolis, MN

Sales Director
GigaSpaces, New York, NY

SDR
GigaSpaces, New York, NY

Pre-Sale Engineer
GigaSpaces, New York, NY

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