DBMS > Databricks vs. EsgynDB vs. Memgraph vs. SiriDB

System Properties Comparison Databricks vs. EsgynDB vs. Memgraph vs. SiriDB

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Editorial information provided by DB-Engines

Name

Description

The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

An open source graph database built for real-time streaming and compatible with Neo4j

Open Source Time Series DBMS

Primary database model

Document store
Relational DBMS

Relational DBMS

Graph DBMS

Time Series DBMS

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

Score	85.60
Rank	#14	Overall
	#2	Document stores
	#9	Relational DBMS

Score	0.15
Rank	#326	Overall
	#144	Relational DBMS

Score	2.82
Rank	#96	Overall
	#7	Graph DBMS

Score	0.00
Rank	#388	Overall
	#40	Time Series DBMS

Website

Technical documentation

docs.databricks.com

memgraph.com/docs

docs.siridb.com

Social network pages

Developer

Databricks

Esgyn

Memgraph Ltd

Cesbit

Initial release

2013

2015

2017

License

Commercial or Open Source

commercial

Open Source

BSL 1.1; commercial license for enterprise edition available

Open Source

MIT 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++, Java

C and C++

Server operating systems

hosted

Linux

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

yes

schema-free and schema-optional

yes

Typing

predefined data types such as float or date

yes

Numeric data

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.

yes

Secondary indexes

yes

SQL

Support of SQL

with Databricks SQL

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC

Bolt protocol
Cypher query language

HTTP API

Supported programming languages

Python
R
Scala

All languages supporting JDBC/ODBC/ADO.Net

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

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

Server-side scripts

Stored procedures

user defined functions and aggregates

Java Stored Procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

dynamic graph partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication between multi datacenters

Multi-source replication using RAFT

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

ACID

with snapshot isolation

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

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

fine grained access rights according to SQL-standard

Users, roles and permissions

simple rights management via user accounts

More information provided by the system vendor

Specific characteristics

Supported database models : In addition to the Document store and Relational DBMS...
» more

Memgraph directly connects to your streaming infrastructure so you and your team...
» more

Competitive advantages

Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more

Typical application scenarios

Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more

Licensing and pricing models

You can check out our pricing model and licenses on the company website .
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

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2 January 2024, Matthias Gelbmann, Paul Andlinger

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Recent citations in the news

Dun & Bradstreet partners with Databricks for real-time access to business data
30 October 2024, SDxCentral

Skyflow and Databricks Enable Privacy-First Innovation in Healthcare
29 October 2024, Business Wire

Opsera and Databricks Partner to Empower Enterprises to Streamline DevOps Processes by Automating Data Orchestration
30 October 2024, PR Newswire

Opsera and Databricks partner to automate data orchestration
30 October 2024, SDTimes.com

Databricks is democratizing GenAI inside the lakehouse
29 October 2024, Fierce Network

provided by Google News

Enhance Your Network Analysis with the Power of a Graph DB
4 May 2024, Towards Data Science

Top Open Source Graph Databases
3 June 2024, MarkTechPost

Croatian graph database startup Memgraph raises €8M with Microsoft as key investor, plans to boost R&D
20 October 2021, The Recursive

Memgraph Launches Streaming Graph Algorithms to the Masses; Announces $9.34MM Seed Funding Led by Microsoft’s M12
5 October 2021, Business Wire

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a major trend _ Technavio
7 August 2023, PR Newswire

provided by Google News

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