DBMS > Alibaba Cloud TSDB vs. Dgraph vs. Graphite vs. Immudb vs. jBASE

System Properties Comparison Alibaba Cloud TSDB vs. Dgraph vs. Graphite vs. Immudb vs. jBASE

Editorial information provided by DB-Engines

Name

Description

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

Distributed and scalable native Graph DBMS

Data logging and graphing tool for time series data

The storage layer (fixed size database) is called Whisper

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

A robust multi-value DBMS comprising development tools and middleware

Primary database model

Secondary database models

Relational DBMS

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

Score	0.29
Rank	#301	Overall
	#26	Time Series DBMS

Score	1.53
Rank	#152	Overall
	#15	Graph DBMS

Score	4.83
Rank	#67	Overall
	#4	Time Series DBMS

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

Score	1.49
Rank	#156	Overall
	#3	Multivalue DBMS

Website

www.alibabacloud.com/product/hitsdb

dgraph.io

github.com/graphite-project/graphite-web

github.com/codenotary/immudb
immudb.io

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

Technical documentation

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

dgraph.io/docs

graphite.readthedocs.io

docs.immudb.io

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

Developer

Alibaba

Dgraph Labs, Inc.

Chris Davis

Codenotary

Rocket Software (formerly Zumasys)

Initial release

2016

2006

2020

1991

Current release

1.2.3, April 2022

5.7

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Apache 2.0

Open Source

Apache Version 2.0

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

Python

Server operating systems

hosted

Linux
OS X
Windows

Linux
Unix

BSD
Linux
macOS
Solaris
Windows
z/OS

AIX
Linux
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

Numeric data and Strings

yes

Numeric data only

optional

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 syntax

Embedded SQL for jBASE in BASIC

APIs and other access methods

HTTP REST

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

HTTP API
Sockets

gRPC protocol
PostgreSQL wire protocol

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

Supported programming languages

Java

C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

JavaScript (Node.js)
Python

.Net
Go
Java
JavaScript (Node.js)
Python

.Net
Basic
Jabbascript
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

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

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

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 managed on TSDB instance level

Planned for future releases

Access rights can be defined down to the item level

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More resources

DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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