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DBMS > Microsoft Azure Synapse Analytics vs. Milvus vs. Netezza vs. Sqrrl

System Properties Comparison Microsoft Azure Synapse Analytics vs. Milvus vs. Netezza vs. Sqrrl

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesData warehouse and analytics appliance part of IBM PureSystemsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSMultivalue DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.90
Rank#39  Overall
#24  Relational DBMS
Score0.35
Rank#258  Overall
#11  Multivalue DBMS
Score19.79
Rank#37  Overall
#22  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsmilvus.iowww.ibm.com/­products/­netezzasqrrl.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.md
DeveloperMicrosoftIBMAmazon infooriginally Sqrrl Data, Inc.
Initial release2016201920002012
Current release1.0, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemshostedLinuxLinux infoincluded in applianceLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
Java
PHP
C++
Go
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresTransact SQLnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic updates per row, document, or graph entity
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.no
User concepts infoAccess controlyesnoUsers with fine-grained authorization conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusNetezza infoAlso called PureData System for Analytics by IBMSqrrl
Recent citations in the news

Microsoft Azure wants to make working with data on its platform easier
2 November 2021, TechCrunch

Gluent Allows Customers to Migrate to Azure Synapse Analytics Faster Than Ever with the Release of Gluent Data Platform 4.3
21 November 2021, WFMZ Allentown

The route to success? Microsoft Azure Synapse Analytics and Power BI
9 November 2021, Technology Record

Microsoft's cloud-connected on-prem database: SQL Server 2022 rolls out in private preview
2 November 2021, ZDNet

Microsoft open-sources SynapseML for developing AI pipelines
17 November 2021, VentureBeat

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11 August 2021, CIO Insight

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10 April 2020, PRNewswire

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21 June 2021, InfoWorld

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20 July 2021, DevClass

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16 November 2020, GlobeNewswire

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Yellowbrick Data Raises $75 Million In New Funding Round
3 November 2021, CRN

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

The Accelerated Path To Petabyte-Scale Graph Databases
28 October 2021, The Next Platform

IBM to Acquire Netezza for $1.78 Billion
20 September 2010, Wall Street Journal

Octopai Announces Support of Tabular on Azure Analysis Services, Netezza and Vertica
9 March 2020, MarTech Series

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Amazon's cloud business acquires Sqrrl, a security start-up with NSA roots
23 January 2018, CNBC

AWS beefs up threat detection with Sqrrl acquisition
24 January 2018, TechCrunch

SQRRL: Helping young Indians save and grow their money
25 January 2021, Financial Express

Amazon Web Services Buys Threat Hunting Startup Sqrrl
24 January 2018, CRN

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