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DBMS > GridGain vs. Microsoft Azure Synapse Analytics vs. Milvus

System Properties Comparison GridGain vs. Microsoft Azure Synapse Analytics vs. Milvus

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value store
Relational DBMS
Relational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.79
Rank#128  Overall
#23  Key-value stores
#63  Relational DBMS
Score16.66
Rank#39  Overall
#24  Relational DBMS
Score0.26
Rank#277  Overall
#11  Multivalue DBMS
Websitewww.gridgain.comazure.microsoft.com/­services/­synapse-analyticsmilvus.io
Technical documentationwww.gridgain.com/­docs/­latestdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.md
DeveloperGridGain Systems, Inc.Microsoft
Initial release200720162019
Current releaseGridGain 8.5.11.0, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++C++
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
C++
Go
Java
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Transact SQLno
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono 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 dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsyesno

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More resources
GridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvus
Recent citations in the news

GridGain Opens Registration, Announces Call for Papers for Ignite Summit
31 August 2021, GlobeNewswire

GridGain Continues Strong Momentum in First Half of 2021
22 July 2021, GlobeNewswire

GridGain gets big speed boost from app-direct Optane – Blocks and Files
21 April 2021, Blocks and Files

GridGain Launches Expert On-Call to Assist Ignite Developers Within Hours
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Evolution of Azure Synapse: Apache Spark 3.0, GPU Acceleration, Delta Lake, Dataverse Support
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10 April 2020, PRNewswire

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16 November 2020, GlobeNewswire

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20 July 2021, DevClass

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