DBMS > Dgraph vs. LeanXcale vs. Microsoft Azure Synapse Analytics

System Properties Comparison Dgraph vs. LeanXcale vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

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

Primary database model

Graph DBMS

Key-value store
Relational DBMS

Relational DBMS

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

Score	1.54
Rank	#143	Overall
	#11	Graph DBMS

Score	0.18
Rank	#292	Overall
	#42	Key-value stores
	#136	Relational DBMS

Score	20.66
Rank	#36	Overall
	#22	Relational DBMS

Website

dgraph.io

www.leanxcale.com

azure.microsoft.com/services/synapse-analytics

Technical documentation

dgraph.io/docs

docs.microsoft.com/azure/synapse-analytics

Developer

Dgraph Labs, Inc.

LeanXcale

Microsoft

Initial release

2016

2015

2016

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

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++

Server operating systems

Linux
OS X
Windows

hosted

Data scheme

schema-free

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

through Apache Derby

yes

APIs and other access methods

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

ADO.NET
JDBC
ODBC

Supported programming languages

C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

C
Java
Scala

C#
Java
PHP

Server-side scripts

Stored procedures

Transact SQL

Triggers

Partitioning methods

Methods for storing different data on different nodes

yes

Sharding, horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

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

Planned for future releases

yes

More information provided by the system vendor

Specific characteristics

Full ACID and full SQL operational database with analytical queries over operational...
» more

Competitive advantages

Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more

Typical application scenarios

Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more

Key customers

banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more

Market metrics

15 beta testers
» more

Licensing and pricing models

annual fee covering license and support based on number of physical cores
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

Dgraph GraphQL database users detail graph use cases
20 April 2021, TechTarget

Key Value Database Market Size In 2022 : Strategic Plans by Globally Industry Demand, Business Growth and Forecast to 2027 with Top Countries Data | 125 Report Pages
24 May 2022, Digital Journal

Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

Dgraph launches Slash GraphQL, a GraphQL-native database Backend-as-a-Service
10 September 2020, TechCrunch

Gary Hagmueller Joins Dgraph Labs To Lead the Graph Platform Market Disruption
8 April 2021, Business Wire

provided by Google News

Microsoft Releases Security Advisory for Azure Data Factory and Azure Synapse Pipelines | CISA
10 May 2022, US-CERT

Microsoft launches deeper integrations between its data products
24 May 2022, TechCrunch

Microsoft announces new Azure capabilities around cloud-native apps, data analytics and hybrid cloud operations
24 May 2022, SiliconANGLE News

Microsoft Touts IntelliJ IDE from JetBrains for Azure Development
29 April 2022, Visual Studio Magazine

Vulnerability mitigated in the third-party Data Connector used in Azure Synapse pipelines and Azure Data Factory (CVE-2022-29972)
9 May 2022, IT Security News

provided by Google News

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