DBMS > Alibaba Cloud TSDB vs. BoltDB vs. DataFS vs. gStore vs. Heroic

System Properties Comparison Alibaba Cloud TSDB vs. BoltDB vs. DataFS vs. gStore vs. Heroic

Editorial information provided by DB-Engines

Name

Description

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

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

A native Graph DBMS to store and maintain very large RDF datasets.

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Primary database model

Secondary database models

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	0.80
Rank	#215	Overall
	#31	Key-value stores

Score	0.09
Rank	#360	Overall
	#17	Object oriented DBMS

Score	0.14
Rank	#342	Overall
	#34	Graph DBMS
	#16	RDF stores

Score	0.46
Rank	#265	Overall
	#22	Time Series DBMS

Website

www.alibabacloud.com/product/hitsdb

github.com/boltdb/bolt

newdatabase.com

en.gstore.cn

github.com/spotify/heroic

Technical documentation

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

dev.mobiland.com/Overview.xsp

en.gstore.cn/#/enDocs

spotify.github.io/heroic

Developer

Alibaba

Mobiland AG

Spotify

Initial release

2013

2018

2016

2014

Current release

1.1.263, October 2022

1.2, November 2023

License

Commercial or Open Source

commercial

Open Source

MIT License

commercial

Open Source

BSD

Open Source

Apache 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

C++

Java

Server operating systems

hosted

BSD
Linux
OS X
Solaris
Windows

Windows

Linux

Data scheme

schema-free

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

schema-free and OWL/RDFS-schema support

schema-free

Typing

predefined data types such as float or date

Numeric data and Strings

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

via Elasticsearch

SQL

Support of SQL

APIs and other access methods

HTTP REST

.NET Client API
Proprietary client DLL
WinRT client

HTTP API
SPARQL 1.1

HQL (Heroic Query Language, a JSON-based language)
HTTP API

Supported programming languages

Java

.Net
C
C#
C++
VB.Net

C++
Java
JavaScript (Node.js)
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

no, except callback-events from server when changes happened

Partitioning methods

Methods for storing different data on different nodes

none

Proprietary Sharding system

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

yes

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 managed on TSDB instance level

Windows-Profile

Users, roles and permissions, Role-Based Access Control (RBAC) supported

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