DBMS > Amazon Redshift vs. FileMaker vs. Interbase vs. Microsoft Access vs. NebulaGraph

System Properties Comparison Amazon Redshift vs. FileMaker vs. Interbase vs. Microsoft Access vs. NebulaGraph

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

FileMaker is a cross-platform RDBMS that includes a GUI frontend.

Light-weight proven RDBMS

originally from Borland

Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries.

The Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)

A distributed, linear scalable, high perfomant Graph DBMS

Primary database model

Relational DBMS

Graph DBMS

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

Score	17.94
Rank	#34	Overall
	#21	Relational DBMS

Score	48.20
Rank	#20	Overall
	#14	Relational DBMS

Score	4.61
Rank	#72	Overall
	#39	Relational DBMS

Score	104.92
Rank	#11	Overall
	#8	Relational DBMS

Score	2.14
Rank	#120	Overall
	#10	Graph DBMS

Website

aws.amazon.com/redshift

www.claris.com/filemaker

www.embarcadero.com/products/interbase

www.microsoft.com/en-us/microsoft-365/access

github.com/vesoft-inc/nebula
www.nebula-graph.io

Technical documentation

docs.aws.amazon.com/redshift

www.claris.com/resources/documentation

docs.embarcadero.com/products/interbase

developer.microsoft.com/en-us/access

docs.nebula-graph.io

Developer

Amazon (based on PostgreSQL)

Claris

a subsidiary of Apple

Embarcadero

Microsoft

Vesoft Inc.

Initial release

2012

1983

1984

1992

2019

Current release

19.4.1, November 2021

InterBase 2020, December 2019

1902 (16.0.11328.20222), March 2019

License

Commercial or Open Source

commercial

Bundled with Microsoft Office

Open Source

Apache Version 2.0 + Common Clause 1.0

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

C++

Server operating systems

hosted

iOS

client part only
Linux
OS X
Windows

Android
iOS
Linux
OS X
Windows

Windows

Not a real database server, but making use of DLLs

Linux

Data scheme

yes

Strong typed schema

Typing

predefined data types such as float or date

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

A http query request can return the data in XML format

export as XML data possible

Secondary indexes

restricted

yes

Nebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

via plugins

yes

but not compliant to any SQL standard

SQL-like query language

APIs and other access methods

JDBC
ODBC

Filemaker WebDirect
JDBC
ODBC

ADO.NET
JDBC
ODBC

ADO.NET
DAO
ODBC
OLE DB

Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis

ORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL

Supported programming languages

All languages supporting JDBC/ODBC

PHP

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET

.Net
C++
Go
Java
PHP
Python

Server-side scripts

Stored procedures

user defined functions

in Python

yes

Interbase procedure and trigger language

yes

since Access 2010 using the ACE-engine

user defined functions

Triggers

yes

since Access 2010 using the ACE-engine

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication, warm standby

since Version 14

Interbase Change Views

none

Causal Clustering using Raft protocol

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

informational only, not enforced by the system

yes

Relationships in graphs

Transaction concepts

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

ACID

but no files for transaction logging

ACID

Concurrency

Support for concurrent manipulation of data

yes

Multiversion concurreny control

yes

Durability

Support for making data persistent

yes

but no files for transaction logging

yes

using RocksDB

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

simple rights management via user accounts and connection to external directory services

fine grained access rights according to SQL-standard

a simple user-level security was built in till version Access 2003

Role-based access control

More information provided by the system vendor

Specific characteristics

NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
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Competitive advantages

NebulaGraph boasts the world's only graph database solution that is able to host...
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Typical application scenarios

Social networking Fraud detection Knowledge graph Data warehouse management Anti...
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Key customers

Companies from a variety of industries have implemented NebulaGraph Database in production,...
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Market metrics

At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
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Licensing and pricing models

NebulaGraph is open source and free to use under Apache 2.0 license.
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