DBMS > Alibaba Cloud MaxCompute vs. Geode vs. ITTIA

System Properties Comparison Alibaba Cloud MaxCompute vs. Geode vs. ITTIA

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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

Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes

Edge Time Series DBMS with Real-Time Stream Processing

Primary database model

Relational DBMS

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

Key-value store

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	0.77
Rank	#214	Overall
	#98	Relational DBMS

Score	1.92
Rank	#131	Overall
	#23	Key-value stores

Score	0.39
Rank	#273	Overall
	#24	Time Series DBMS

Website

www.alibabacloud.com/product/maxcompute

geode.apache.org

www.ittia.com

Technical documentation

www.alibabacloud.com/help/en/maxcompute

geode.apache.org/docs

Developer

Alibaba

Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.

ITTIA L.L.C.

Initial release

2016

2002

2007

Current release

1.1, February 2017

8.7

License

Commercial or Open Source

commercial

Open Source

Apache Version 2; commercial licenses available as Gemfire

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++

Server operating systems

hosted

All OS with a Java VM

the JDK (8 or later) is also required

Linux
Windows

Data scheme

yes

schema-free

Fixed schema

Typing

predefined data types such as float or date

yes

Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval

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 query language (OQL)

yes

APIs and other access methods

Fluentd
Flume
MaxCompute Console

Java Client API
Memcached protocol
RESTful HTTP API

JDBC
ODBC
RESTful HTTP API
WebSocket

Supported programming languages

Java

.Net
All JVM based languages
C++
Groovy
Java
Scala

C
C++
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

in Java

user defined functions

yes

Triggers

yes

Cache Event Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Multi-source replication

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes, on a single node

yes

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

Access rights per client and object definable

Database file passwords

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