DBMS > Dgraph vs. KairosDB vs. StarRocks vs. Tibero

System Properties Comparison Dgraph vs. KairosDB vs. StarRocks vs. Tibero

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

Distributed Time Series DBMS based on Cassandra or H2

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

A secure RDBMS, designed for easy portability from Oracle

Primary database model

Graph DBMS

Time Series DBMS

Relational DBMS

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

Score	1.53
Rank	#152	Overall
	#15	Graph DBMS

Score	0.67
Rank	#233	Overall
	#20	Time Series DBMS

Score	0.93
Rank	#198	Overall
	#93	Relational DBMS

Score	1.59
Rank	#148	Overall
	#68	Relational DBMS

Website

dgraph.io

github.com/kairosdb/kairosdb

www.starrocks.io

us.tmaxsoft.com/products/tibero

Technical documentation

dgraph.io/docs

kairosdb.github.io

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

technet.tmaxsoft.com/upload/download/online/tibero/pver-20150504-000002/index.html

Developer

Dgraph Labs, Inc.

The Linux Foundation

since Feb 2023

TmaxSoft

Initial release

2016

2013

2020

2003

Current release

1.2.2, November 2018

2.5.3, March 2023

6, April 2015

License

Commercial or Open Source

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

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++, Java

C and Assembler

Server operating systems

Linux
OS X
Windows

Linux

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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

yes

APIs and other access methods

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

Graphite protocol
HTTP REST
Telnet API

JDBC
MySQL protocol

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI

Supported programming languages

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

Java
JavaScript

Node.js
PHP
Python

Java

C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic

Server-side scripts

Stored procedures

user defined functions

Persistent Stored Procedure (PSM)

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

Sharding

based on Cassandra

horizontal partitioning (by range and hash)

horizontal partitioning

by range, hash, list or composite

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

selectable replication factor

based on Cassandra

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

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

yes

Transaction concepts

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

ACID

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.

planned for next version

User concepts

Access control

Planned for future releases

simple password-based access control

Role based access control and fine grained access rights

fine grained access rights according to SQL-standard (SQL 92, SQL 99)

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