DBMS > Hyprcubd vs. Oracle Rdb vs. RisingWave

System Properties Comparison Hyprcubd vs. Oracle Rdb vs. RisingWave

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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

Serverless Time Series DBMS

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

Primary database model

Time Series DBMS

Relational DBMS

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

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	0.64
Rank	#238	Overall
	#110	Relational DBMS

Website

hyprcubd.com (offline)

www.oracle.com/database/technologies/related/rdb.html

www.risingwave.com/database

Technical documentation

www.oracle.com/database/technologies/related/rdb-doc.html

docs.risingwave.com/docs/current/intro

Developer

Hyprcubd, Inc.

Oracle, originally developed by Digital Equipment Corporation (DEC)

RisingWave Labs

Initial release

1984

2022

Current release

7.4.1.1, 2021

1.2, September 2023

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Rust

Server operating systems

hosted

HP Open VMS

Docker
Linux
macOS

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

yes

Standard SQL-types and JSON

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 query language

yes

APIs and other access methods

gRPC (https)

JDBC
PostgreSQL wire protocol

Supported programming languages

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

UDFs in Python or Java

Triggers

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes, on a single node

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

token access

Users and Roles

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