DBMS > BoltDB vs. DolphinDB vs. NuoDB vs. OpenTSDB

System Properties Comparison BoltDB vs. DolphinDB vs. NuoDB vs. OpenTSDB

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Editorial information provided by DB-Engines

Name

Description

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.

NuoDB is a webscale distributed database that supports SQL and ACID transactions

Scalable Time Series DBMS based on HBase

Primary database model

Secondary database models

Relational DBMS

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

Score	0.74
Rank	#220	Overall
	#31	Key-value stores

Score	4.13
Rank	#80	Overall
	#6	Time Series DBMS

Score	0.89
Rank	#198	Overall
	#92	Relational DBMS

Score	1.68
Rank	#146	Overall
	#12	Time Series DBMS

Website

github.com/boltdb/bolt

www.dolphindb.com

www.3ds.com/nuodb-distributed-sql-database

opentsdb.net

Technical documentation

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

doc.nuodb.com

opentsdb.net/docs/build/html/index.html

Developer

DolphinDB, Inc

Dassault Systèmes

originally NuoDB, Inc.

currently maintained by Yahoo and other contributors

Initial release

2013

2018

2013

2011

Current release

v2.00.4, January 2022

License

Commercial or Open Source

Open Source

MIT License

commercial

free community version available

commercial

limited edition free

Open Source

LGPL

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++

Java

Server operating systems

BSD
Linux
OS X
Solaris
Windows

Linux
Windows

hosted

Amazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows

Linux
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

numeric data for metrics, strings for tags

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

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

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

ADO.NET
JDBC
ODBC

HTTP API
Telnet API

Supported programming languages

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

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

Erlang
Go
Java
Python
R
Ruby

Server-side scripts

Stored procedures

yes

Java, SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

data is dynamically stored/cached on the nodes where it is read/written

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Managed transparently by NuoDB

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

tunable commit protocol

Concurrency

Support for concurrent manipulation of data

yes

MVCC

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

Temporary table

User concepts

Access control

Administrators, Users, Groups

Standard SQL roles/ privileges, Administrative Users

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More resources

DB-Engines blog posts

Meet some database management systems you are likely to hear more about in the future
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