DBMS > Tkrzw vs. Weaviate

System Properties Comparison Tkrzw vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

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

Primary database model

Key-value store

Search engine

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

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

Score	0.13
Rank	#306	Overall
	#19	Search engines

Website

dbmx.net/tkrzw

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

Technical documentation

weaviate.io/developers/weaviate/current

Developer

Mikio Hirabayashi

SeMI Technologies B.V.

Initial release

2020

2017

Current release

0.9.3, August 2020

1.0.3, January 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

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

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Implementation language

C++

Server operating systems

Linux
macOS

Data scheme

schema-free

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.

Secondary indexes

yes

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

SQL

Support of SQL

GraphQL is used as query language

APIs and other access methods

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

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

Transaction concepts

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

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

using specific database classes

User concepts

Access control

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.
» more

Licensing and pricing models

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