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DBMS > GigaSpaces vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB vs. Stardog vs. Vertica

System Properties Comparison GigaSpaces vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB vs. Stardog vs. Vertica

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonStardog  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDatabase as a Service offering with high compatibility to Microsoft SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationCloud 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 modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument storeGraph DBMS
RDF store
Relational DBMS infoColumn oriented
Secondary database modelsGraph 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
Score1.05
Rank#191  Overall
#31  Document stores
#6  Object oriented DBMS
Score78.51
Rank#15  Overall
#10  Relational DBMS
Score0.60
Rank#246  Overall
#38  Document stores
Score2.03
Rank#136  Overall
#12  Graph DBMS
#6  RDF stores
Score11.76
Rank#44  Overall
#28  Relational DBMS
Websitewww.gigaspaces.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.stardog.comwww.vertica.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­en-us/­azure/­azure-sqldocs.percona.com/­percona-distribution-for-mongodbdocs.stardog.comvertica.com/­documentation
DeveloperGigaspaces TechnologiesMicrosoftPerconaStardog-UnionOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20002010201520102005
Current release15.5, September 2020V123.4.10-2.10, November 20177.3.0, May 202012.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoGPL Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnonono 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.
Implementation languageJava, C++, .NetC++C++JavaC++
Server operating systemsLinux
macOS
Solaris
Windows
hostedLinuxLinux
macOS
Windows
Linux
Data schemeschema-freeyesschema-freeschema-free and OWL/RDFS-schema supportYes, 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.no infoXML can be used for describing objects metadatayesnono infoImport/export of XML data possibleno
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatialNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-99 for query and DML statementsyesnoYes, compatible with all major SQL variants through dedicated BI/SQL ServerFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
proprietary protocol using JSONGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesTransact SQLJavaScriptuser defined functions and aggregates, HTTP Server extensions in Javayes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes, event driven architectureyesnoyes infovia event handlersyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes, with always 3 replicas availableSource-replica replicationMulti-source replication in HA-ClusterMulti-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 methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
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.yesyes infovia In-Memory Engineyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
GigaSpacesMicrosoft Azure SQL Database infoformerly SQL AzurePercona Server for MongoDBStardogVertica 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...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
GigaSpacesMicrosoft Azure SQL Database infoformerly SQL AzurePercona Server for MongoDBStardogVertica infoOpenText™ Vertica™
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