DBMS > Cassandra vs. FileMaker vs. Memgraph vs. openGauss

System Properties Comparison Cassandra vs. FileMaker vs. Memgraph vs. openGauss

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

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

An open source graph database built for real-time streaming and compatible with Neo4j

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

Primary database model

Secondary database models

Vector DBMS

starting with release V5

Document store
Spatial DBMS

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

Score	101.89
Rank	#12	Overall
	#1	Wide column stores

Score	48.20
Rank	#20	Overall
	#14	Relational DBMS

Score	3.02
Rank	#98	Overall
	#8	Graph DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Website

cassandra.apache.org

www.claris.com/filemaker

memgraph.com

gitee.com/opengauss
opengauss.org

Technical documentation

cassandra.apache.org/doc/latest

www.claris.com/resources/documentation

memgraph.com/docs

docs.opengauss.org/en
gitee.com/opengauss/docs

Social network pages

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

Claris

a subsidiary of Apple

Memgraph Ltd

Huawei and openGauss community

Initial release

2008

1983

2017

2019

Current release

4.1.3, July 2023

19.4.1, November 2021

3.0, March 2022

License

Commercial or Open Source

Open Source

Apache version 2

commercial

Open Source

BSL 1.1; commercial license for enterprise edition available

Open Source

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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Java

C and C++

C, C++, Java

Server operating systems

BSD
Linux
OS X
Windows

iOS

client part only
Linux
OS X
Windows

Linux

Data scheme

schema-free

yes

schema-free and schema-optional

yes

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

Secondary indexes

restricted

only equality queries, not always the best performing solution

yes

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

yes

via plugins

ANSI SQL 2011

APIs and other access methods

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

Filemaker WebDirect
JDBC
ODBC

Bolt protocol
Cypher query language

JDBC
ODBC

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

PHP

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

C
C++
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

none

Sharding

dynamic graph partitioning

horizontal partitioning (by range, list and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

Source-replica replication, warm standby

since Version 14

Multi-source replication using RAFT

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

yes

Transaction concepts

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

Atomicity and isolation are supported for single operations

ACID

with snapshot isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

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 can be defined per object

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

Users, roles and permissions

Access rights for users, groups and roles according to SQL-standard

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
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Memgraph directly connects to your streaming infrastructure so you and your team...
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Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
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Business Source License ensures a future for the Memgraph community MAGE algorithm...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
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Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metrics

Cassandra is used by 40% of the Fortune 100.
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Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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You can check out our pricing model and licenses on the company website .
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.