DBMS > Ehcache vs. ObjectBox vs. Oracle Rdb vs. Rockset

System Properties Comparison Ehcache vs. ObjectBox vs. Oracle Rdb vs. Rockset

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

Extremely fast embedded database for small devices, IoT and Mobile

A scalable, reliable search and analytics service in the cloud, built on RocksDB

Primary database model

Secondary database models

Time Series DBMS

Relational DBMS
Search engine

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

Score	4.89
Rank	#67	Overall
	#8	Key-value stores

Score	1.20
Rank	#170	Overall
	#5	Object oriented DBMS

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Score	0.79
Rank	#211	Overall
	#35	Document stores

Website

www.ehcache.org

objectbox.io

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

rockset.com

Technical documentation

www.ehcache.org/documentation

docs.objectbox.io

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

docs.rockset.com

Developer

Terracotta Inc, owned by Software AG

ObjectBox Limited

Oracle, originally developed by Digital Equipment Corporation (DEC)

Rockset

Initial release

2009

2017

1984

2019

Current release

3.10.0, March 2022

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

Open Source

Apache License 2.0

commercial

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 and C++

C++

Server operating systems

All OS with a Java VM

Android
iOS
Linux
macOS
Windows

HP Open VMS

hosted

Data scheme

schema-free

yes

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

schema-free

Typing

predefined data types such as float or date

yes

dynamic typing

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.

ingestion from XML files supported

Secondary indexes

yes

all fields are automatically indexed

SQL

Support of SQL

yes

Read-only SQL queries, including JOINs

APIs and other access methods

JCache

Proprietary native API

HTTP REST

Supported programming languages

Java

C
C++
Dart
Go
Java
JavaScript

planned (as of Jan 2019)
Kotlin
Python

planned (as of Jan 2019)
Swift

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

Triggers

yes

Cache Event Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

none

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

online/offline synchronization between client and server

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

supports JTA and can work as an XA resource

ACID

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

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

yes

Access rights for users and organizations can be defined via Rockset console

More information provided by the system vendor

News

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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