DBMS > Hyprcubd vs. Oracle Coherence vs. SpaceTime vs. Sphinx

System Properties Comparison Hyprcubd vs. Oracle Coherence vs. SpaceTime vs. Sphinx

Please select another system to include it in the comparison.

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

Oracles in-memory data grid solution

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Open source search engine for searching in data from different sources, e.g. relational databases

Primary database model

Secondary database models

Relational DBMS

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

Score	1.81
Rank	#128	Overall
	#22	Key-value stores

Score	0.00
Rank	#386	Overall
	#7	Spatial DBMS

Score	5.92
Rank	#57	Overall
	#6	Search engines

Website

hyprcubd.com (offline)

www.oracle.com/java/coherence

www.mireo.com/spacetime

sphinxsearch.com

Technical documentation

docs.oracle.com/en/middleware/standalone/coherence

sphinxsearch.com/docs

Developer

Hyprcubd, Inc.

Oracle

Mireo

Sphinx Technologies Inc.

Initial release

2007

2020

2001

Current release

14.1, August 2023

3.5.1, February 2023

License

Commercial or Open Source

commercial

Open Source

GPL version 2, commercial licence available

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

C++

Server operating systems

hosted

All OS with a Java VM

Linux

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Data scheme

yes

schema-free

yes

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.

Secondary indexes

yes

full-text index on all search fields

SQL

Support of SQL

SQL-like query language

A subset of ANSI SQL is implemented

SQL-like query language (SphinxQL)

APIs and other access methods

gRPC (https)

JCache
JPA
RESTful HTTP API

RESTful HTTP API

Proprietary protocol

Supported programming languages

.Net
C++
Java

C#
C++
Python

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

Server-side scripts

Stored procedures

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

Fixed-grid hypercubes

Sharding

Partitioning is done manually, search queries against distributed index is supported

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with selectable consistency level

Real-time block device replication (DRBD)

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes

The original contents of fields are not stored in the Sphinx index.

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

authentification to access the cache via certificates or http basic authentication

yes

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

DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

New solutions for Oracle WebLogic on Azure Virtual Machines
1 April 2021, Microsoft

Nike achieves scalability and performance with Oracle Coherence & Exadata
20 December 2012, blogs.oracle.com

Oracle augments payments and transaction banking in the cloud
19 September 2023, The Paypers

Cloud Native Java with the Micronaut Framework
3 May 2022, InfoQ.com

Data Fabric Market Size Analysis and Forecast Report, 2030
3 April 2023, P&S Intelligence

provided by Google News

Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose?
2 February 2024, Towards Data Science

Voice Recognition Tools Review. Alexa, PocketSphinx, Google API or Project Oxford?
1 March 2024, Netguru

Manticore is a Faster Alternative to Elasticsearch in C++
25 July 2022, hackernoon.com

Beyond the Concert Hall: 5 Organizations Making a Difference in Classical Music in 2018
22 December 2018, WQXR Radio

10 Years of Building the Security Intelligence Graph: A Tech Retrospective
28 April 2020, Recorded Future

provided by Google News

Share this page