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DBMS > GigaSpaces vs. Graph Engine vs. Infobright vs. Microsoft Azure Synapse Analytics vs. YDB

System Properties Comparison GigaSpaces vs. Graph Engine vs. Infobright vs. Microsoft Azure Synapse Analytics vs. YDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-value store
Relational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.gigaspaces.comwww.graphengine.ioignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­services/­synapse-analyticsgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsydb.tech/­en/­docs
DeveloperGigaspaces TechnologiesMicrosoftIgnite Technologies Inc.; formerly InfoBright Inc.MicrosoftYandex
Initial release20002010200520162019
Current release15.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT Licensecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net.NET and CCC++
Server operating systemsLinux
macOS
Solaris
Windows
.NETLinux
Windows
hostedLinux
Data schemeschema-freeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
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 metadatanononono
Secondary indexesyesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyesyesSQL-like query language (YQL)
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
PHP
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesyesnoTransact SQLno
Triggersyes, event driven architecturenonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyesAccess rights defined for Yandex Cloud users

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More resources
GigaSpacesGraph Engine infoformer name: TrinityInfobrightMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseYDB
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