DBMS > Alibaba Cloud TSDB vs. Atos Standard Common Repository vs. GeoMesa vs. Memgraph

System Properties Comparison Alibaba Cloud TSDB vs. Atos Standard Common Repository vs. GeoMesa vs. Memgraph

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

A stable, reliable, and cost-effective online high-performance time series database service

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

An open source graph database built for real-time streaming and compatible with Neo4j

Primary database model

Time Series DBMS

Document store
Key-value store

Spatial DBMS

Graph DBMS

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

Score	0.29
Rank	#301	Overall
	#26	Time Series DBMS

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	3.19
Rank	#94	Overall
	#8	Graph DBMS

Website

www.alibabacloud.com/product/hitsdb

atos.net/en/convergence-creators/portfolio/standard-common-repository

www.geomesa.org

memgraph.com

Technical documentation

www.alibabacloud.com/help/en/time-series-database/latest/what-is-tsdb

www.geomesa.org/documentation/stable/user/index.html

memgraph.com/docs

Social network pages

Developer

Alibaba

Atos Convergence Creators

CCRi and others

Memgraph Ltd

Initial release

2016

2014

2017

Current release

1703

5.0.0, May 2024

License

Commercial or Open Source

commercial

Open Source

Apache License 2.0

Open Source

BSL 1.1; commercial license for enterprise edition available

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

Scala

C and C++

Server operating systems

hosted

Linux

Data scheme

schema-free

Schema and schema-less with LDAP views

yes

schema-free and schema-optional

Typing

predefined data types such as float or date

Numeric data and Strings

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

APIs and other access methods

HTTP REST

LDAP

Bolt protocol
Cypher query language

Supported programming languages

Java

All languages with LDAP bindings

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

depending on storage layer

Sharding

dynamic graph partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

depending on storage layer

Multi-source replication using RAFT

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

depending on storage layer

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

Atomic execution of specific operations

ACID

with snapshot isolation

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

In-memory capabilities

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

yes

depending on storage layer

yes

User concepts

Access control

Access managed on TSDB instance level

LDAP bind authentication

yes

depending on the DBMS used for storage

Users, roles and permissions

More information provided by the system vendor

Specific characteristics

Memgraph directly connects to your streaming infrastructure so you and your team...
» more

Competitive advantages

Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more

Typical application scenarios

Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more

Licensing and pricing models

You can check out our pricing model and licenses on the company website .
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Enhance Your Network Analysis with the Power of a Graph DB
4 May 2024, Towards Data Science

Graph database company Memgraph raises $9.34M
5 October 2021, VentureBeat

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ...
7 August 2023, PR Newswire

Croatian graph database startup Memgraph raises €8M with Microsoft as key investor, plans to boost R&D
20 October 2021, The Recursive

Modeling and Navigating a Transportation Network with Memgraph
12 April 2021, Towards Data Science

provided by Google News

Share this page