DBMS > InterSystems IRIS vs. STSdb vs. Weaviate

System Properties Comparison InterSystems IRIS vs. STSdb vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

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

Primary database model

Document store
Key-value store
Object oriented DBMS
Relational DBMS

Key-value store

Search engine

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

Score	2.25
Rank	#119	Overall
	#22	Document stores
	#23	Key-value stores
	#2	Object oriented DBMS
	#59	Relational DBMS

Score	0.00
Rank	#356	Overall
	#57	Key-value stores

Score	0.13
Rank	#306	Overall
	#19	Search engines

Website

www.intersystems.com/products/intersystems-iris

github.com/STSSoft/STSdb4

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

Technical documentation

docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls

weaviate.io/developers/weaviate/current

Developer

InterSystems

STS Soft SC

SeMI Technologies B.V.

Initial release

2018

2011

2017

Current release

2021.1, June 2021

4.0.8, September 2015

1.0.3, January 2021

License

Commercial or Open Source

commercial

Open Source

GPLv2, commercial license available

Open Source

commercial license available with Weaviate Enterprise

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

Server operating systems

AIX
Linux
macOS
Windows

Windows

Data scheme

depending on used data model

yes

yes, maps to GraphQL interface

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

JDBC
ODBC
RESTful HTTP API

.NET Client API

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

.Net
C++
Java
JavaScript (Node.js)
Python

C#
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

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.

yes

User concepts

Access control

yes

OpenID Connect Discovery

More information provided by the system vendor

Typical application scenarios

As a stand-alone vector search engine, or use one of the many modules (transformers,...
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Key customers

A ll companies that have data.
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Licensing and pricing models

Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
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