DBMS > Alibaba Cloud MaxCompute vs. EJDB vs. Hawkular Metrics vs. searchxml vs. YottaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. EJDB vs. Hawkular Metrics vs. searchxml vs. YottaDB

Editorial information provided by DB-Engines

Name

Description

MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.

DBMS for structured and unstructured content wrapped with an application server

A fast and solid embedded Key-value store

Primary database model

Relational DBMS

a graph-processing framework is available with the graphs being stored in tables

Document store

Time Series DBMS

Native XML DBMS
Search engine

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	0.77
Rank	#214	Overall
	#98	Relational DBMS

Score	0.27
Rank	#297	Overall
	#44	Document stores

Score	0.00
Rank	#379	Overall
	#40	Time Series DBMS

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

www.alibabacloud.com/product/maxcompute

github.com/Softmotions/ejdb

www.hawkular.org

www.searchxml.net/category/products

yottadb.com

Technical documentation

www.alibabacloud.com/help/en/maxcompute

github.com/Softmotions/ejdb/blob/master/README.md

www.hawkular.org/hawkular-metrics/docs/user-guide

www.searchxml.net/support/handouts

yottadb.com/resources/documentation

Developer

Alibaba

Softmotions

Community supported by Red Hat

informationpartners gmbh

YottaDB, LLC

Initial release

2016

2012

2014

2015

2001

Current release

1.0

License

Commercial or Open Source

commercial

Open Source

GPLv2

Open Source

Apache 2.0

commercial

Open Source

AGPL 3.0

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

Java

C++

Server operating systems

hosted

server-less

Linux
OS X
Windows

Windows

Docker
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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

SQL-like query language

by using the Octo plugin

APIs and other access methods

Fluentd
Flume
MaxCompute Console

in-process shared library

HTTP REST

RESTful HTTP API
WebDAV
XQuery
XSLT

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

Java

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

Go
Java
Python
Ruby

C++

most other programming languages supported via APIs

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

user defined functions

in Java

yes

on the application server

Triggers

yes

via Hawkular Alerting

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

Sharding

based on Cassandra

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

selectable replication factor

based on Cassandra

yes

sychronisation to multiple collections

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

Transaction concepts

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

multiple readers, single writer

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

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.

yes

User concepts

Access control

Access rights for users and roles

Domain, group and role-based access control at the document level and for application services

Users and groups based on OS-security mechanisms

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