DBMS > DolphinDB vs. Hazelcast vs. HBase vs. SpatiaLite

System Properties Comparison DolphinDB vs. Hazelcast vs. HBase vs. SpatiaLite

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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.

A widely adopted in-memory data grid

Wide-column store based on Apache Hadoop and on concepts of BigTable

Spatial extension of SQLite

Primary database model

Secondary database models

Relational DBMS

Document store

JSON support with IMDG 3.12

Relational DBMS

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

Score	1.65
Rank	#139	Overall
	#9	Time Series DBMS

Score	10.38
Rank	#48	Overall
	#6	Key-value stores

Score	42.07
Rank	#26	Overall
	#2	Wide column stores

Score	1.91
Rank	#127	Overall
	#2	Spatial DBMS

Website

www.dolphindb.com

hazelcast.com

hbase.apache.org

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

www.dolphindb.com/help

hazelcast.org/imdg/docs

hbase.apache.org

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

DolphinDB, Inc

Hazelcast

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Alessandro Furieri

Initial release

2018

2008

Current release

v2.00.4, January 2022

5.1, March 2022

2.3.4, January 2021

5.0.0, August 2020

License

Commercial or Open Source

commercial

free community version available

Open Source

Apache Version 2; commercial licenses available

Open Source

Apache version 2

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Java

C++

Server operating systems

Linux
Windows

All OS with a Java VM

Linux
Unix
Windows

using Cygwin

server-less

Data scheme

yes

schema-free

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

yes

options to bring your own types, AVRO

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

the object must implement a serialization strategy

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

JCache
JPA
Memcached protocol
RESTful HTTP API

Java API
RESTful HTTP API
Thrift

Supported programming languages

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

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

C
C#
C++
Groovy
Java
PHP
Python
Scala

Server-side scripts

Stored procedures

yes

Event Listeners, Executor Services

yes

Coprocessors in Java

Triggers

yes

Events

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Replicated Map

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency selectable by user

Raft Consensus Algorithm

Immediate Consistency or Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

one or two-phase-commit; repeatable reads; read commited

Single row ACID (across millions of columns)

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.

yes

User concepts

Access control

Administrators, Users, Groups

Role-based access control

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

More information provided by the system vendor

Specific characteristics

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Competitive advantages

No single point of failure ensures very high availability with multiple customers...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customers

Apple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...
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Market metrics

#1 largest NoSQL database by revenue
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Licensing and pricing models

Apache license P ricing for commercial distribution provided by Cloudera and available...
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