DBMS > FileMaker vs. GreptimeDB vs. TerminusDB vs. TinkerGraph vs. VelocityDB

System Properties Comparison FileMaker vs. GreptimeDB vs. TerminusDB vs. TinkerGraph vs. VelocityDB

Editorial information provided by DB-Engines

Name

Description

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

An open source Time Series DBMS built for increased scalability, high performance and efficiency

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Relational DBMS

Time Series DBMS

Graph DBMS

Graph DBMS
Object oriented DBMS

Secondary database models

Document store
RDF store

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

Score	45.20
Rank	#20	Overall
	#14	Relational DBMS

Score	0.09
Rank	#343	Overall
	#31	Time Series DBMS

Score	0.19
Rank	#311	Overall
	#27	Graph DBMS

Score	0.08
Rank	#345	Overall
	#34	Graph DBMS

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS
	#21	Object oriented DBMS

Website

www.claris.com/filemaker

greptime.com

terminusdb.com

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

velocitydb.com

Technical documentation

www.claris.com/resources/documentation

docs.greptime.com

terminusdb.github.io/terminusdb/#

velocitydb.com/UserGuide

Developer

Claris

a subsidiary of Apple

Greptime Inc.

DataChemist Ltd.

VelocityDB Inc

Initial release

1983

2022

2018

2009

2011

Current release

19.4.1, November 2021

11.0.0, January 2023

7.x

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

GPL V3

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

Rust

Prolog, Rust

Java

Server operating systems

iOS

client part only
Linux
OS X
Windows

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux

Any that supports .NET

Data scheme

yes

schema-free, schema definition possible

yes

schema-free

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

yes

SQL

Support of SQL

yes

via plugins

yes

SQL-like query language (WOQL)

APIs and other access methods

Filemaker WebDirect
JDBC
ODBC

gRPC
HTTP API
JDBC

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

TinkerPop 3

.Net

Supported programming languages

PHP

C++
Erlang
Go
Java
JavaScript

JavaScript
Python

Groovy
Java

.Net

Server-side scripts

Stored procedures

yes

Python

yes

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Graph Partitioning

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

Journaling Streams

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

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 journaling

optional

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

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

Simple rights management via user accounts

Role-based access control

Based on Windows Authentication

More information provided by the system vendor

Specific characteristics

GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more

Competitive advantages

- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more

Typical application scenarios

For IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more

Key customers

Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more

Market metrics

GreptimeDB has garnered global recognition by topping GitHub trends following its...
» more

Licensing and pricing models

GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

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