DBMS > Cachelot.io vs. DolphinDB vs. InfluxDB vs. NebulaGraph

System Properties Comparison Cachelot.io vs. DolphinDB vs. InfluxDB vs. NebulaGraph

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Editorial information provided by DB-Engines

Name

Description

In-memory caching system

DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.

DBMS for storing time series, events and metrics

A distributed, linear scalable, high perfomant Graph DBMS

Primary database model

Key-value store

Time Series DBMS

Graph DBMS

Secondary database models

Relational DBMS

Spatial DBMS

with GEO package

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

Score	0.00
Rank	#383	Overall
	#60	Key-value stores

Score	4.13
Rank	#80	Overall
	#6	Time Series DBMS

Score	25.83
Rank	#28	Overall
	#1	Time Series DBMS

Score	2.14
Rank	#120	Overall
	#10	Graph DBMS

Website

cachelot.io

www.dolphindb.com

www.influxdata.com/products/influxdb-overview

github.com/vesoft-inc/nebula
www.nebula-graph.io

Technical documentation

docs.dolphindb.cn/en/help200/index.html

docs.influxdata.com/influxdb

docs.nebula-graph.io

Developer

DolphinDB, Inc

Vesoft Inc.

Initial release

2015

2018

2013

2019

Current release

v2.00.4, January 2022

2.7.6, April 2024

License

Commercial or Open Source

Open Source

Simplified BSD License

commercial

free community version available

Open Source

MIT-License; commercial enterprise version available

Open Source

Apache Version 2.0 + Common Clause 1.0

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

C++

Server operating systems

FreeBSD
Linux
OS X

Linux
Windows

Linux
OS X

through Homebrew

Linux

Data scheme

schema-free

yes

schema-free

Strong typed schema

Typing

predefined data types such as float or date

yes

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

Nebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Memcached protocol

JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket

HTTP API
JSON over UDP

Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis

ORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL

Supported programming languages

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby

C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust

.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala

.Net
C++
Go
Java
PHP
Python

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

in enterprise version only

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

selectable replication factor

in enterprise version only

Causal Clustering using Raft protocol

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using RocksDB

In-memory capabilities

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

yes

Depending on used storage engine

yes

User concepts

Access control

Administrators, Users, Groups

simple rights management via user accounts

Role-based access control

More information provided by the system vendor

Specific characteristics

InfluxData is the creator of InfluxDB , the open source time series database. It...
» more

NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more

Competitive advantages

Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more

NebulaGraph boasts the world's only graph database solution that is able to host...
» more

Typical application scenarios

IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more

Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more

Key customers

InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more

Companies from a variety of industries have implemented NebulaGraph Database in production,...
» more

Market metrics

Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more

At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more

Licensing and pricing models

Open source core with closed source clustering available either on-premise or on...
» more

NebulaGraph is open source and free to use under Apache 2.0 license.
» more

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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.

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More resources

DB-Engines blog posts

Why Build a Time Series Data Platform?
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