DBMS > Microsoft Azure Synapse Analytics vs. ReductStore vs. Sequoiadb vs. TigerGraph vs. Transbase

System Properties Comparison Microsoft Azure Synapse Analytics vs. ReductStore vs. Sequoiadb vs. TigerGraph vs. Transbase

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.

NewSQL database with distributed OLTP and SQL

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Relational DBMS

Time Series DBMS

Document store
Relational DBMS

Graph DBMS

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	0.50
Rank	#258	Overall
	#41	Document stores
	#120	Relational DBMS

Score	1.80
Rank	#138	Overall
	#13	Graph DBMS

Score	0.17
Rank	#334	Overall
	#148	Relational DBMS

Website

azure.microsoft.com/services/synapse-analytics

github.com/reductstore
www.reduct.store

www.sequoiadb.com

www.tigergraph.com

www.transaction.de/en/products/transbase.html

Technical documentation

docs.microsoft.com/azure/synapse-analytics

www.reduct.store/docs

www.sequoiadb.com/en/index.php?m=Files&a=index

docs.tigergraph.com

www.transaction.de/en/products/transbase/features.html

Developer

Microsoft

ReductStore LLC

Sequoiadb Ltd.

Transaction Software GmbH

Initial release

2016

2023

2013

2017

1987

Current release

1.9, March 2024

Transbase 8.3, 2022

License

Commercial or Open Source

commercial

Open Source

Business Source License 1.1

Open Source

Server: AGPL; Client: Apache V2

commercial

free development license

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++

C and C++

Server operating systems

hosted

Docker
Linux
macOS
Windows

Linux

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

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

SQL-like query language

SQL-like query language (GSQL)

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

HTTP API

proprietary protocol using JSON

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C#
Java
PHP

C++
JavaScript (Node.js)
Python
Rust

.Net
C++
Java
PHP
Python

C++
Java

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

Transact SQL

JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

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

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

Document is locked during a transaction

ACID

yes

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.

User concepts

Access control

yes

simple password-based access control

Role-based access control

fine grained access rights according to SQL-standard

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More resources

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