DBMS > DuckDB vs. Memcached vs. Stardog

System Properties Comparison DuckDB vs. Memcached vs. Stardog

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

An embeddable, in-process, column-oriented SQL OLAP RDBMS

In-memory key-value store, originally intended for caching

Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization

Primary database model

Relational DBMS

Key-value store

Graph DBMS
RDF store

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

Score	6.71
Rank	#51	Overall
	#31	Relational DBMS

Score	15.78
Rank	#34	Overall
	#4	Key-value stores

Score	1.59
Rank	#136	Overall
	#11	Graph DBMS
	#6	RDF stores

Website

duckdb.org

www.memcached.org

www.stardog.com

Technical documentation

duckdb.org/docs

github.com/memcached/memcached/wiki

docs.stardog.com

Developer

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Stardog-Union

Initial release

2018

2003

2010

Current release

1.0.0, June 2024

1.6.29, June 2024

7.3.0, May 2020

License

Commercial or Open Source

Open Source

MIT License

Open Source

BSD license

commercial

60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students

Cloud-based only

Only available as a cloud service

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

server-less

FreeBSD
Linux
OS X
Unix
Windows

Linux
macOS
Windows

Data scheme

yes

schema-free

schema-free and OWL/RDFS-schema support

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.

Import/export of XML data possible

Secondary indexes

yes

supports real-time indexing in full-text and geospatial

SQL

Support of SQL

yes

Yes, compatible with all major SQL variants through dedicated BI/SQL Server

APIs and other access methods

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

Proprietary protocol

GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3

Supported programming languages

C
C#

3rd party driver
C++
Crystal

3rd party driver
Go

3rd party driver
Java
Lisp

3rd party driver
Python
R
Ruby

3rd party driver
Rust
Swift
Zig

3rd party driver

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

via event handlers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Repcached, a Memcached patch, provides this functionallity

Multi-source replication in HA-Cluster

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 HA-Cluster

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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

using SASL (Simple Authentication and Security Layer) protocol

Access rights for users and roles

More information provided by the system vendor

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Redis extends the lead in the DB-Engines key-value store ranking
3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB
18 March 2025, AWS Blog

DuckDB project releases Local web UI, but not as open source
19 March 2025, DevClass

DeepSeek AI Releases Smallpond: A Lightweight Data Processing Framework Built on DuckDB and 3FS
2 March 2025, MarkTechPost

DuckDB + Webassembly = WhatTheDuck
2 January 2025, iProgrammer

MotherDuck Announces Beta Release of pg_duckdb; Brings DuckDB's Analytics Power to PostgreSQL Users
24 October 2024, PR Newswire

provided by Google News

Use Memcached for Java enterprise performance, Part 1: Architecture and setup
9 July 2024, InfoWorld

AMD Ryzen 5 9600X & Ryzen 7 9700X Offer Excellent Linux Performance
7 August 2024, Phoronix

Memcrashed - Major amplification attacks from UDP port 11211
27 February 2018, The Cloudflare Blog

How to secure ElasticCache in AWS
18 October 2024, packtpub.com

New – Size flexibility for Amazon ElastiCache reserved nodes
1 October 2024, AWS Blog

provided by Google News

Share this page