DBMS > HarperDB vs. Netezza vs. OpenEdge vs. SAP HANA

System Properties Comparison HarperDB vs. Netezza vs. OpenEdge vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.

Data warehouse and analytics appliance part of IBM PureSystems

Application development environment with integrated database management system

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Document store

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.60
Rank	#244	Overall
	#38	Document stores

Score	8.59
Rank	#45	Overall
	#29	Relational DBMS

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Website

www.harperdb.io

www.ibm.com/products/netezza

www.progress.com/openedge

www.sap.com/products/hana.html

Technical documentation

docs.harperdb.io/docs

documentation.progress.com/output/ua/OpenEdge_latest

help.sap.com/hana

Developer

HarperDB

IBM

Progress Software Corporation

SAP

Initial release

2017

2000

1984

2010

Current release

3.1, August 2021

OpenEdge 12.2, March 2020

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

commercial

free community edition available

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Node.js

Server operating systems

Linux
OS X

Linux

included in appliance

AIX
HP-UX
Linux
Solaris
Windows

Appliance or cloud-service

Data scheme

dynamic schema

yes

Typing

predefined data types such as float or date

yes

JSON data types

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

Secondary indexes

yes

SQL

Support of SQL

SQL-like data manipulation statements

yes

close to SQL 92

yes

APIs and other access methods

JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket

JDBC
ODBC
OLE DB

JDBC
ODBC

Supported programming languages

.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

C
C++
Fortran
Java
Lua
Perl
Python
R

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

Custom Functions

since release 3.1

yes

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

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

Sharding

horizontal partitioning

since Version 11.4

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

the nodes on which a table resides can be defined

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

Durability

Support for making data persistent

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

Users with fine-grained authorization concept

Users and groups

yes

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