DBMS > Apache HBase vs. Dolt vs. etcd

System Properties Comparison Apache HBase vs. Dolt vs. etcd

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

A MySQL compatible DBMS with Git-like versioning of data and schema

A distributed reliable key-value store

Primary database model

Wide column store

Relational DBMS

Key-value store

Secondary database models

Document store

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

Score	22.62
Rank	#27	Overall
	#3	Wide column stores

Score	0.60
Rank	#232	Overall
	#106	Relational DBMS

Score	7.14
Rank	#47	Overall
	#5	Key-value stores

Website

hbase.apache.org

github.com/dolthub/dolt
www.dolthub.com

etcd.io
github.com/etcd-io/etcd

Technical documentation

hbase.apache.org/book.html

docs.dolthub.com

etcd.io/docs
github.com/etcd-io/etcd/tree/master/Documentation

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

DoltHub Inc

Initial release

2008

2018

Current release

2.3.4, January 2021

3.4, August 2019

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

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

Linux
macOS
Windows

FreeBSD
Linux
Windows

experimental

Data scheme

schema-free, schema definition possible

yes

schema-free

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

yes

APIs and other access methods

Java API
RESTful HTTP API
Thrift

CLI Client
HTTP REST

gRPC
JSON over HTTP

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl

Server-side scripts

Stored procedures

yes

Coprocessors in Java

yes

currently in alpha release

Triggers

yes

yes, watching key changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

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

yes

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

Only one user is configurable, and must be specified in the config file at startup

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

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

Implement Amazon EMR HBase Graceful Scaling | Amazon Web Services
18 March 2025, Amazon Web Services

How to optimize Hbase for the Cloud [Tutorial]
22 October 2024, Packt

Cost and Performance Advantages of Replacing HBase with TencentDB TDSQL TDStore Engine in Historical Data Scenarios
30 April 2025, ANTARA News

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

provided by Google News

An open-source data storage and visualization platform for collaborative qubit control
30 September 2024, Nature

Top 100+ Essential Data Science Tools & Repos: Streamline Your Workflow Today!
17 October 2024, Packt

7 Modern SQL Databases You Must Know in 2024
28 June 2024, KDnuggets

Git-for-Data, Version-Controlled Database Dolt Gets PostgreSQL-Flavor
25 November 2023, infoq.com

Radar Trends to Watch: July 2022
5 July 2022, O'Reilly Media

provided by Google News

Etcd Joins CNCF’s Growing Cache of Open Source Projects
5 May 2025, SDx Central

etcd gets ready to graduate
17 November 2020, Amazon Web Services

How to restore a Kubernetes cluster from an etcd snapshot
16 December 2021, TechTarget

ETCD guidelines: RBI seeks to balance rupee stability, competitiveness | Policy Circle
8 April 2024, policycircle.org

Scaling Kubernetes to 2,500 nodes
18 January 2018, OpenAI

provided by Google News

Share this page