DBMS > Memcached vs. Snowflake vs. Weaviate

System Properties Comparison Memcached vs. Snowflake vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

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

Cloud-based data warehousing service for structured and semi-structured data

A cloud-native, realtime vector search engine integrating scalable machine learning models

Primary database model

Key-value store

Relational DBMS

Search engine

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

Score	21.99
Rank	#32	Overall
	#4	Key-value stores

Score	111.12
Rank	#12	Overall
	#8	Relational DBMS

Score	0.53
Rank	#274	Overall
	#18	Search engines

Website

www.memcached.org

www.snowflake.com

github.com/semi-technologies/weaviate
weaviate.io

Technical documentation

github.com/memcached/memcached/wiki

docs.snowflake.net/manuals/index.html

weaviate.io/developers/weaviate/current

Developer

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Snowflake Computing Inc.

Weaviate B.V.

Initial release

2003

2014

2019

Current release

1.6.19, March 2023

1.17, December 2022

License

Commercial or Open Source

Open Source

BSD license

commercial

Open Source

commercial license available with Weaviate Enterprise

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

FreeBSD
Linux
OS X
Unix
Windows

hosted

Data scheme

schema-free

yes

support of semi-structured data formats (JSON, XML, Avro)

yes, maps to GraphQL interface

Typing

predefined data types such as float or date

yes

string, int, float, geo point, date, cross reference, fuzzy references

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

all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed

SQL

Support of SQL

yes

GraphQL is used as query language

APIs and other access methods

Proprietary protocol

CLI Client
JDBC
ODBC

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

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

JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

none

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Repcached, a Memcached patch, provides this functionallity

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

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.

User concepts

Access control

yes

using SASL (Simple Authentication and Security Layer) protocol

Users with fine-grained authorization concept, user roles and pluggable authentication

OpenID Connect Discovery

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