Featured Products: Milvus AllegroGraph RaimaDB Datastax Astra Neo4j

DBMS > DolphinDB vs. EJDB vs. Hive vs. SQL.JS

System Properties Comparison DolphinDB vs. EJDB vs. Hive vs. SQL.JS

Please select another system to include it in the comparison.

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.

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

data warehouse software for querying and managing large distributed datasets, built on Hadoop

Port of SQLite to JavaScript

Primary database model

Time Series DBMS

Relational DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	4.13
Rank	#80	Overall
	#6	Time Series DBMS

Score	0.27
Rank	#297	Overall
	#44	Document stores

Score	61.17
Rank	#18	Overall
	#12	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.dolphindb.com

github.com/Softmotions/ejdb

hive.apache.org

Technical documentation

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

github.com/Softmotions/ejdb/blob/master/README.md

cwiki.apache.org/confluence/display/Hive/Home

sql.js.org/documentation/index.html

Developer

DolphinDB, Inc

Softmotions

Apache Software Foundation

initially developed by Facebook

Alon Zakai

enhancements implemented by others

Initial release

2018

2012

2012

2012

Current release

v2.00.4, January 2022

3.1.3, April 2022

License

Commercial or Open Source

commercial

free community version available

Open Source

GPLv2

Open Source

Apache Version 2

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

C

Java

JavaScript

Server operating systems

Linux
Windows

server-less

All OS with a Java VM

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

schema-free

yes

yes

Typing

predefined data types such as float or date

yes

yes

string, integer, double, bool, date, object_id

yes

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.

no

no

Secondary indexes

yes

no

yes

SQL

Support of SQL

SQL-like query language

no

SQL-like DML and DDL statements

yes

SQL-92 is not fully supported

APIs and other access methods

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

in-process shared library

JDBC
ODBC
Thrift

JavaScript API

Supported programming languages

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

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

C++
Java
PHP
Python

JavaScript

Server-side scripts

Stored procedures

yes

no

yes

user defined functions and integration of map-reduce

no

Triggers

no

no

no

no

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

no

yes

query execution via MapReduce

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

no

no

typically not needed, however similar functionality with collection joins possible

no

yes

Transaction concepts

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

yes

no

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Read/Write Locking

yes

Durability

Support for making data persistent

yes

yes

yes

no

except by serializing a db to a file

In-memory capabilities

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

yes

yes

User concepts

Access control

Administrators, Users, Groups

no

Access rights for users, groups and roles

no

More information provided by the system vendor

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

Recent citations in the news

Apache Software Foundation Announces Apache Hive 4.0
30 April 2024, Datanami

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services
18 October 2023, AWS Blog

ASF Unveils the Next Evolution of Big Data Processing With the Launch of Hive 4.0
2 May 2024, Datanami

18 Top Big Data Tools and Technologies to Know About in 2024
24 January 2024, TechTarget

GC Tuning for Improved Presto Reliability
11 January 2024, Uber

provided by Google News

9 Best JavaScript and TypeScript ORMs for 2024 — SitePoint
22 March 2023, SitePoint

Execute millions of SQL statements in milliseconds in the browser with WebAssembly and Web Workers.
14 January 2017, hackernoon.com

SQLite On The Web: Absurd-sql
24 August 2021, Hackaday

In Praise Of SQLite
28 July 2022, iProgrammer

Running PostgreSQL Inside Your Browser
8 September 2022, iProgrammer

provided by Google News

Share this page

Featured Products

Present your product here