DBMS > HBase vs. Hyprcubd vs. OrigoDB vs. YottaDB

System Properties Comparison HBase vs. Hyprcubd vs. OrigoDB vs. YottaDB

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Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

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

Serverless Time Series DBMS

A fully ACID in-memory object graph database

A fast and solid embedded Key-value store

Primary database model

Wide column store

Time Series DBMS

Document store
Object oriented DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	27.97
Rank	#26	Overall
	#2	Wide column stores

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#18	Object oriented DBMS

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

hbase.apache.org

hyprcubd.com (offline)

origodb.com

yottadb.com

Technical documentation

hbase.apache.org/book.html

origodb.com/docs

yottadb.com/resources/documentation

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Hyprcubd, Inc.

Robert Friberg et al

YottaDB, LLC

Initial release

2008

2009

under the name LiveDB

2001

Current release

2.3.4, January 2021

License

Commercial or Open Source

Open Source

Apache version 2

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

yes

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

hosted

Linux
Windows

Docker
Linux

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

time, int, uint, float, string

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

by using the Octo plugin

APIs and other access methods

Java API
RESTful HTTP API
Thrift

gRPC (https)

.NET Client API
HTTP API
LINQ

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

.Net

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

Coprocessors in Java

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Source-replica replication

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

Eventual Consistency

Foreign keys

Referential integrity

depending on model

Transaction concepts

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

Single row ACID (across millions of columns)

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

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

token access

Role based authorization

Users and groups based on OS-security mechanisms

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More resources

DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021, Krishna Maheshwari (sponsor)

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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