DBMS > Hawkular Metrics vs. MaxDB vs. OpenEdge vs. Prometheus vs. TigerGraph

System Properties Comparison Hawkular Metrics vs. MaxDB vs. OpenEdge vs. Prometheus vs. TigerGraph

Editorial information provided by DB-Engines

Name

Description

Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.

A robust and reliable RDBMS optimized to run all major SAP solutions

Application development environment with integrated database management system

Open-source Time Series DBMS and monitoring system

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

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

Score	0.01
Rank	#377	Overall
	#39	Time Series DBMS

Score	2.15
Rank	#115	Overall
	#55	Relational DBMS

Score	3.69
Rank	#78	Overall
	#42	Relational DBMS

Score	7.56
Rank	#49	Overall
	#3	Time Series DBMS

Score	1.44
Rank	#152	Overall
	#14	Graph DBMS

Website

www.hawkular.org

maxdb.sap.com

www.progress.com/openedge

prometheus.io

www.tigergraph.com

Technical documentation

www.hawkular.org/hawkular-metrics/docs/user-guide

maxdb.sap.com/documentation

documentation.progress.com/output/ua/OpenEdge_latest

prometheus.io/docs

docs.tigergraph.com

Developer

Community supported by Red Hat

SAP, acquired from Software AG (Adabas-D) in 1997

Progress Software Corporation

Initial release

2014

1984

2015

2017

Current release

7.9.10.12, February 2024

OpenEdge 12.2, March 2020

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Limited community edition free

commercial

Open Source

Apache 2.0

commercial

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

Java

C++

Server operating systems

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

Linux
Windows

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data only

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

Import of XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

SQL-like query language (GSQL)

APIs and other access methods

HTTP REST

ADO.NET
JDBC
ODBC
WebDAV

JDBC
ODBC

RESTful HTTP/JSON API

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

Go
Java
Python
Ruby

.Net
C#
Java
Perl
PHP
Python

Progress proprietary ABL (Advanced Business Language)

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

C++
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

via Hawkular Alerting

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

none

horizontal partitioning

since Version 11.4

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

Source-replica replication

yes

by Federation

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

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.

User concepts

Access control

fine grained access rights according to SQL-standard

Users and groups

Role-based access control

More information provided by the system vendor

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