DBMS > Tkrzw vs. XTDB vs. YTsaurus

System Properties Comparison Tkrzw vs. XTDB vs. YTsaurus

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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 general purpose database with bitemporal SQL and Datalog and graph queries

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Key-value store

Document store

Document store
Key-value store

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

Score	0.07
Rank	#372	Overall
	#57	Key-value stores

Score	0.18
Rank	#332	Overall
	#46	Document stores

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

dbmx.net/tkrzw

github.com/xtdb/xtdb
www.xtdb.com

ytsaurus.tech

Technical documentation

www.xtdb.com/docs

ytsaurus.tech/docs/en

Developer

Mikio Hirabayashi

Juxt Ltd.

Yandex

Initial release

2020

2019

2023

Current release

0.9.3, August 2020

1.19, September 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MIT License

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Clojure

C++

Server operating systems

Linux
macOS

All OS with a Java 8 (and higher) VM
Linux

Ubuntu

Data scheme

schema-free

Typing

predefined data types such as float or date

yes, extensible-data-notation format

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.

Secondary indexes

yes

SQL

Support of SQL

limited SQL, making use of Apache Calcite

YQL, an SQL-based language, is supported

APIs and other access methods

HTTP REST
JDBC

Supported programming languages

C++
Java
Python
Ruby

Clojure
Java

C++
Go
Java
JavaScript
Python

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, each node contains all data

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

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

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

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

Access Control Lists

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