DBMS > Apache HBase vs. Apache Hive vs. TypeDB

System Properties Comparison Apache HBase vs. Apache Hive vs. TypeDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

data warehouse software for querying and managing large distributed datasets, built on Hadoop

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.

Primary database model

Wide column store

Relational DBMS

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.

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

Score	24.08
Rank	#26	Overall
	#2	Wide column stores

Score	70.08
Rank	#18	Overall
	#12	Relational DBMS

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

Website

hbase.apache.org

hive.apache.org

typedb.com

Technical documentation

hbase.apache.org/book.html

cwiki.apache.org/confluence/display/Hive/Home

typedb.com/docs

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Apache Software Foundation

initially developed by Facebook

Vaticle

Initial release

2008

2012

2016

Current release

2.3.4, January 2021

3.1.3, April 2022

2.28.3, June 2024

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache Version 2

Open Source

GPL Version 3, commercial licenses available

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

Java

Server operating systems

Linux
Unix
Windows

using Cygwin

All OS with a Java VM

Linux
OS X
Windows

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

SQL-like DML and DDL statements

APIs and other access methods

Java API
RESTful HTTP API
Thrift

JDBC
ODBC
Thrift

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

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C++
Java
PHP
Python

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

Server-side scripts

Stored procedures

yes

Coprocessors in Java

yes

user defined functions and integration of map-reduce

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

selectable replication factor

Synchronous replication via raft

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

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

Access rights for users, groups and roles

yes

at REST API level; other APIs in progress

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Implement Amazon EMR HBase Graceful Scaling
18 March 2025, AWS Blog

Apache HBase online migration to Amazon EMR | Amazon Web Services
23 October 2024, AWS Blog

Fig. 5. Initial status of HBase regions driving YCSB workloads.
20 November 2024, ResearchGate

HydraBase – The evolution of HBase@Facebook
5 June 2014, Facebook Engineering

HBase: The database big data left behind
6 May 2016, InfoWorld

provided by Google News

Design patterns for implementing Hive Metastore for Amazon EMR on EKS
28 February 2025, AWS Blog

Mastering Hadoop, Part 3: Hadoop Ecosystem: Get the most out of your cluster
14 March 2025, Towards Data Science

What Is Apache Iceberg?
18 December 2024, ibm.com

Pinot for Low-Latency Offline Table Analytics
29 August 2024, Uber

Presto SQL + S3 Data + Superset = Data Lake
25 October 2024, hackernoon.com

provided by Google News

Spacecraft Engineering Models: How to Migrate UML to TypeQL
8 September 2021, hackernoon.com

We’ve Released a COVID-19 Knowledge Graph
14 July 2020, Towards Data Science

Top 45+ startups in Knowledge Graph Platforms in Jan, 2025
16 January 2025, Tracxn

provided by Google News

Share this page