DBMS > EventStoreDB vs. Microsoft Azure Synapse Analytics vs. RDFox vs. Warp 10

System Properties Comparison EventStoreDB vs. Microsoft Azure Synapse Analytics vs. RDFox vs. Warp 10

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Editorial information provided by DB-Engines

Name

Description

Industrial-strength, open-source database solution built from the ground up for event sourcing.

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

High performance knowledge graph and semantic reasoning engine

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Secondary database models

Relational DBMS

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

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	19.93
Rank	#31	Overall
	#19	Relational DBMS

Score	0.29
Rank	#300	Overall
	#24	Graph DBMS
	#13	RDF stores

Score	0.14
Rank	#344	Overall
	#32	Time Series DBMS

Website

www.eventstore.com

azure.microsoft.com/services/synapse-analytics

www.oxfordsemantic.tech

www.warp10.io

Technical documentation

developers.eventstore.com

docs.microsoft.com/azure/synapse-analytics

docs.oxfordsemantic.tech

www.warp10.io/content/02_Getting_started

Developer

Event Store Limited

Microsoft

Oxford Semantic Technologies

SenX

Initial release

2012

2016

2017

2015

Current release

21.2, February 2021

6.0, Septermber 2022

License

Commercial or Open Source

Open Source

commercial

Open Source

Apache License 2.0

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++

Java

Server operating systems

Linux
Windows

hosted

Linux
macOS
Windows

Linux
OS X
Windows

Data scheme

yes

RDF schemas

schema-free

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

RESTful HTTP API
SPARQL 1.1

HTTP API
Jupyter
WebSocket

Supported programming languages

C#
Java
PHP

C
Java

Server-side scripts

Stored procedures

Transact SQL

yes

WarpScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

replication via a shared file system

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

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

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

Roles, resources, and access types

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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