DBMS > Apache Impala vs. Hyprcubd vs. Ingres vs. OushuDB vs. SwayDB

System Properties Comparison Apache Impala vs. Hyprcubd vs. Ingres vs. OushuDB vs. SwayDB

Editorial information provided by DB-Engines

Name

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

Description

Analytic DBMS for Hadoop

Serverless Time Series DBMS

Well established RDBMS

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Secondary database models

Document store

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

Score	12.45
Rank	#40	Overall
	#24	Relational DBMS

Score	3.80
Rank	#82	Overall
	#44	Relational DBMS

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Score	0.04
Rank	#387	Overall
	#61	Key-value stores

Website

impala.apache.org

hyprcubd.com (offline)

www.actian.com/databases/ingres

www.oushu.com/product/oushuDB

swaydb.simer.au

Technical documentation

impala.apache.org/impala-docs.html

docs.actian.com/ingres

www.oushu.com/documentation

Developer

Apache Software Foundation

Apache top-level project, originally developed by Cloudera

Hyprcubd, Inc.

Actian Corporation

Oushu

Simer Plaha

Initial release

2013

1974

originally developed at University Berkely in early 1970s

2018

Current release

4.1.0, June 2022

11.2, May 2022

4.0.1, August 2020

License

Commercial or Open Source

Open Source

Apache Version 2

commercial

Open Source

GNU Affero GPL V3.0

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

C++

Scala

Server operating systems

Linux

hosted

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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.

but tools for importing/exporting data from/to XML-files available

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

SQL-like query language

yes

Full-featured ANSI SQL support

APIs and other access methods

JDBC
ODBC

gRPC (https)

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

JDBC
ODBC

Supported programming languages

All languages supporting JDBC/ODBC

C
C++

Java
Kotlin
Scala

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Ingres Star to access multiple databases simultaneously

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Ingres Replicator

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Hadoop integration

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

ACID

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

MVCC

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 rights for users, groups and roles

based on Apache Sentry and Kerberos

token access

fine grained access rights according to SQL-standard

Kerberos, SSL and role based access

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More resources

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