DBMS > Apache HBase vs. TypeDB vs. YTsaurus

System Properties Comparison Apache HBase vs. TypeDB vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.

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

Primary database model

Wide column store

Graph DBMS

The type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS

The data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS

The type-theoretic data model of TypeDB subsumes the relational database model.

Document store
Key-value store

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

Score	24.08
Rank	#26	Overall
	#2	Wide column stores

Score	0.64
Rank	#229	Overall
	#20	Graph DBMS
	#8	Object oriented DBMS
	#106	Relational DBMS

Score	0.23
Rank	#301	Overall
	#45	Document stores
	#44	Key-value stores

Website

hbase.apache.org

typedb.com

ytsaurus.tech

Technical documentation

hbase.apache.org/book.html

typedb.com/docs

ytsaurus.tech/docs/en

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Vaticle

Yandex

Initial release

2008

2016

2023

Current release

2.3.4, January 2021

2.28.3, June 2024

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

GPL Version 3, commercial licenses available

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

Java

C++

Server operating systems

Linux
Unix
Windows

using Cygwin

Linux
OS X
Windows

Ubuntu

Data scheme

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

options to bring your own types, AVRO

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

YQL, an SQL-based language, is supported

APIs and other access methods

Java API
RESTful HTTP API
Thrift

gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Coprocessors in Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Synchronous replication via raft

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

substituted by the relationship feature

Transaction concepts

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

Single row ACID (across millions of columns)

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

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

yes

at REST API level; other APIs in progress

Access Control Lists

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