DBMS > CrateDB vs. Ehcache vs. jBASE vs. TerminusDB

System Properties Comparison CrateDB vs. Ehcache vs. jBASE vs. TerminusDB

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Editorial information provided by DB-Engines

Name

Description

Distributed Database based on Lucene

A widely adopted Java cache with tiered storage options

A robust multi-value DBMS comprising development tools and middleware

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Primary database model

Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS

Key-value store

Multivalue DBMS

Graph DBMS

Secondary database models

Relational DBMS

Document store
RDF store

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

Score	0.69
Rank	#226	Overall
	#37	Document stores
	#5	Spatial DBMS
	#16	Search engines
	#19	Time Series DBMS
	#11	Vector DBMS

Score	4.79
Rank	#66	Overall
	#8	Key-value stores

Score	1.36
Rank	#157	Overall
	#3	Multivalue DBMS

Score	0.19
Rank	#311	Overall
	#27	Graph DBMS

Website

cratedb.com

www.ehcache.org

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

terminusdb.com

Technical documentation

cratedb.com/docs

www.ehcache.org/documentation

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

terminusdb.github.io/terminusdb/#

Developer

Crate

Terracotta Inc, owned by Software AG

Rocket Software (formerly Zumasys)

DataChemist Ltd.

Initial release

2013

2009

1991

2018

Current release

5.8.1, August 2024

3.10.0, March 2022

5.7

11.0.0, January 2023

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

commercial

Open Source

GPL V3

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Prolog, Rust

Server operating systems

All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support

All OS with a Java VM

AIX
Linux
Windows

Linux

Data scheme

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

schema-free

yes

Typing

predefined data types such as float or date

yes

optional

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes, but no triggers and constraints, and PostgreSQL compatibility

Embedded SQL for jBASE in BASIC

SQL-like query language (WOQL)

APIs and other access methods

ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API

JCache

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

.NET
Erlang
Go

community maintained client
Java
JavaScript (Node.js)

community maintained client
Perl

community maintained client
PHP
Python
R
Ruby

community maintained client
Scala

community maintained client

Java

.Net
Basic
Jabbascript
Java

JavaScript
Python

Server-side scripts

Stored procedures

user defined functions (Javascript)

yes

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

Sharding

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Configurable replication on table/partition-level

yes

by using Terracotta Server

yes

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Read-after-write consistency on record level

Tunable Consistency (Strong, Eventual, Weak)

Foreign keys

Referential integrity

yes

Transaction concepts

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

unique row identifiers can be used for implementing an optimistic concurrency control strategy

yes

supports JTA and can work as an XA resource

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

yes

in-memory journaling

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

rights management via user accounts

Access rights can be defined down to the item level

Role-based access control

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More resources

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