DBMS > Alibaba Cloud Table Store vs. EventStoreDB vs. Hyprcubd vs. Immudb vs. MonetDB

System Properties Comparison Alibaba Cloud Table Store vs. EventStoreDB vs. Hyprcubd vs. Immudb vs. MonetDB

Editorial information provided by DB-Engines

Name

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

Description

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

Industrial-strength, open-source database solution built from the ground up for event sourcing.

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

A relational database management system that stores data in columns

Primary database model

Secondary database models

Relational DBMS

Document store
Spatial DBMS

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

Score	0.31
Rank	#297	Overall
	#11	Wide column stores

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	0.31
Rank	#295	Overall
	#42	Key-value stores

Score	1.72
Rank	#141	Overall
	#64	Relational DBMS

Website

www.alibabacloud.com/product/table-store

www.eventstore.com

hyprcubd.com (offline)

github.com/codenotary/immudb
immudb.io

www.monetdb.org

Technical documentation

www.alibabacloud.com/help/en/tablestore

developers.eventstore.com

docs.immudb.io

www.monetdb.org/Documentation

Developer

Alibaba

Event Store Limited

Hyprcubd, Inc.

Codenotary

MonetDB BV

Initial release

2016

2012

2020

2004

Current release

21.2, February 2021

1.2.3, April 2022

Dec2023 (11.49), December 2023

License

Commercial or Open Source

commercial

Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Mozilla Public License 2.0

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

Server operating systems

hosted

Linux
Windows

hosted

BSD
Linux
macOS
Solaris
Windows
z/OS

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

schema-free

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 query language

SQL-like syntax

yes

SQL 2003 with some extensions

APIs and other access methods

HTTP API

gRPC (https)

gRPC protocol
PostgreSQL wire protocol

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

Supported programming languages

Java
Python

.Net
Go
Java
JavaScript (Node.js)
Python

C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Server-side scripts

Stored procedures

yes, in SQL, C, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

Sharding via remote tables

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

Source-replica replication available in experimental status

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic single-row operations

ACID

Concurrency

Support for concurrent manipulation of data

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.

User concepts

Access control

Access rights based on subaccounts and tokens

token access

fine grained access rights according to SQL-standard

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