DBMS > BigObject vs. Hyprcubd vs. Oracle Coherence vs. WakandaDB

System Properties Comparison BigObject vs. Hyprcubd vs. Oracle Coherence vs. WakandaDB

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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

Analytic DBMS for real-time computations and queries

Serverless Time Series DBMS

Oracles in-memory data grid solution

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Time Series DBMS

Key-value store

Object oriented DBMS

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

Score	0.13
Rank	#333	Overall
	#147	Relational DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

bigobject.io

hyprcubd.com (offline)

www.oracle.com/java/coherence

wakanda.github.io

Technical documentation

docs.bigobject.io

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

wakanda.github.io/doc

Developer

BigObject, Inc.

Hyprcubd, Inc.

Oracle

Wakanda SAS

Initial release

2015

2007

2012

Current release

14.1, August 2023

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

free community edition available

commercial

Open Source

AGPLv3, extended commercial license 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++, JavaScript

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

hosted

All OS with a Java VM

Linux
OS X
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

SQL

Support of SQL

SQL-like DML and DDL statements

SQL-like query language

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

gRPC (https)

JCache
JPA
RESTful HTTP API

RESTful HTTP API

Supported programming languages

.Net
C++
Java

JavaScript

Server-side scripts

Stored procedures

Lua

yes

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes, with selectable consistency level

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

Transaction concepts

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

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

Durability

Support for making data persistent

yes

optionally

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

authentification to access the cache via certificates or http basic authentication

yes

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