DBMS > Graph Engine vs. HarperDB vs. HyperSQL vs. Microsoft Azure Search vs. SQLite

System Properties Comparison Graph Engine vs. HarperDB vs. HyperSQL vs. Microsoft Azure Search vs. SQLite

Editorial information provided by DB-Engines

Name

Description

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

A distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

Search-as-a-service for web and mobile app development

Widely used embeddable, in-process RDBMS

Primary database model

Graph DBMS
Key-value store

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

Score	0.91
Rank	#184	Overall
	#16	Graph DBMS
	#30	Key-value stores

Score	0.52
Rank	#238	Overall
	#37	Document stores

Score	5.35
Rank	#76	Overall
	#41	Relational DBMS

Score	7.54
Rank	#59	Overall
	#6	Search engines

Score	134.73
Rank	#10	Overall
	#7	Relational DBMS

Website

www.graphengine.io

harperdb.io

hsqldb.org

azure.microsoft.com/en-us/services/search

www.sqlite.org

Technical documentation

www.graphengine.io/docs/manual

harperdb.io/developers/documentation/overview

hsqldb.org/web/hsqlDocsFrame.html

docs.microsoft.com/en-us/azure/search

www.sqlite.org/docs.html

Developer

Microsoft

HarperDB

Microsoft

Dwayne Richard Hipp

Initial release

2010

2017

2001

2015

2000

Current release

3.1, August 2021

2.6.1, October 2021

3.38.4 (4 May 2022), May 2022

License

Commercial or Open Source

Open Source

MIT License

commercial

free community edition available

Open Source

based on BSD license

commercial

Open Source

Public Domain

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

.NET and C

Node.js

Java

Server operating systems

.NET

Linux
OS X

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

hosted

server-less

Data scheme

yes

dynamic schema

yes

dynamic column types

Typing

predefined data types such as float or date

yes

JSON data types

yes

not rigid because of 'dynamic typing' concept.

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 data manipulation statements

yes

SQL-92 is not fully supported

APIs and other access methods

RESTful HTTP API

JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket

HTTP API

JDBC via HTTP
JDBC
ODBC

RESTful HTTP API

ADO.NET

inofficial driver
JDBC

inofficial driver
ODBC

inofficial driver

Supported programming languages

C#
C++
F#
Visual Basic

.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift

All languages supporting JDBC/ODBC
Java

.Net
C#

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts

Stored procedures

yes

Custom Functions

since release 3.1

Java, SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

A table resides as a whole on one (or more) nodes in a cluster

none

Sharding

Implicit feature of the cloud service

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

the nodes on which a table resides can be defined

none

yes

Implicit feature of the cloud service

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of specific operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

via file-system locks

Durability

Support for making data persistent

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

yes, using LMDB

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

Access rights for users and roles

fine grained access rights according to SQL-standard

yes

using Azure authentication

More information provided by the system vendor

Specific characteristics

HarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
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Competitive advantages

By combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
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Typical application scenarios

Use cases where HarperDB is a better fit than other solutions include: Rapid app...
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Key customers

A few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
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Market metrics

Over 26K total HarperDB users : 12,700+ npm downloads 10,000+ on Docker Hub 3,400+...
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Licensing and pricing models

HarperDB follows a freemium/premium model . A data base is only as powerful as it...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.