DBMS > Microsoft Azure Synapse Analytics vs. ReductStore vs. SAP IQ vs. SpatiaLite

System Properties Comparison Microsoft Azure Synapse Analytics vs. ReductStore vs. SAP IQ vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Columnar RDBMS optimized for Big Data analytics

Spatial extension of SQLite

Primary database model

column-oriented

Secondary database models

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	19.93
Rank	#31	Overall
	#19	Relational DBMS

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Website

azure.microsoft.com/services/synapse-analytics

github.com/reductstore
www.reduct.store

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

docs.microsoft.com/azure/synapse-analytics

www.reduct.store/docs

help.sap.com/docs/SAP_IQ

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Microsoft

ReductStore LLC

SAP, formerly Sybase

Alessandro Furieri

Initial release

2016

2023

1994

2008

Current release

1.9, March 2024

16.1 SPS04, April 2019

5.0.0, August 2020

License

Commercial or Open Source

commercial

Open Source

Business Source License 1.1

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

C++, Rust

C++

Server operating systems

hosted

Docker
Linux
macOS
Windows

AIX
HP-UX
Linux
Solaris
Windows

server-less

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

HTTP API

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

C#
Java
PHP

C++
JavaScript (Node.js)
Python
Rust

C
C#
C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

Transact SQL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

shared disk or shared nothing architectures with SAP IQ Multiplexer

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

SAP/Sybase Replication Server

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

yes

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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