DBMS > RavenDB vs. Spark SQL

System Properties Comparison RavenDB vs. Spark SQL

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Editorial information provided by DB-Engines

Name

Description

Open Source Operational and Transactional Enterprise NoSQL Document Database

Spark SQL is a component on top of 'Spark Core' for structured data processing

Primary database model

Document store

Relational DBMS

Secondary database models

Graph DBMS
Spatial DBMS
Time Series DBMS

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Score	3.89
Rank	#90	Overall
	#17	Document stores

Score	23.72
Rank	#35	Overall
	#21	Relational DBMS

Website

ravendb.net

spark.apache.org/sql

Technical documentation

ravendb.net/docs

spark.apache.org/docs/latest/sql-programming-guide.html

Developer

Hibernating Rhinos

Apache Software Foundation

Initial release

2010

2014

Current release

5.3, November 2021

3.3.0, June 2022

License

Commercial or Open Source

Open Source

AGPL version 3, commercial license available

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Scala

Server operating systems

Linux
macOS
Raspberry Pi
Windows

Linux
OS X
Windows

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

SQL-like query language (RQL)

SQL-like DML and DDL statements

APIs and other access methods

.NET Client API
Java Client API
Python Client API
RESTful HTTP API

JDBC
ODBC

Supported programming languages

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

Java
Python
R
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes, utilizing Spark Core

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

MapReduce functions can be defined in Linq

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID, Cluster-wide transaction available

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

Access control on document level using the Authorization Bundle

More information provided by the system vendor

Specific characteristics

RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
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Competitive advantages

RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
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Typical application scenarios

IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
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Key customers

Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
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Market metrics

2 million+ downloads 1000+ customers including Fortune 500 large enterprises
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Licensing and pricing models

RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
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