DBMS > Graphite vs. InfinityDB vs. OpenMLDB vs. Transbase

System Properties Comparison Graphite vs. InfinityDB vs. OpenMLDB vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

Data logging and graphing tool for time series data

The storage layer (fixed size database) is called Whisper

A Java embedded Key-Value Store which extends the Java Map interface

An open-source machine learning database that provides a feature platform for training and inference

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Secondary database models

Relational DBMS

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

Score	5.19
Rank	#62	Overall
	#4	Time Series DBMS

Score	0.00
Rank	#383	Overall
	#59	Key-value stores

Score	0.11
Rank	#339	Overall
	#30	Time Series DBMS

Score	0.05
Rank	#355	Overall
	#150	Relational DBMS

Website

github.com/graphite-project/graphite-web

boilerbay.com

openmldb.ai

www.transaction.de/en/products/transbase.html

Technical documentation

graphite.readthedocs.io

boilerbay.com/infinitydb/manual

openmldb.ai/docs/zh/main

www.transaction.de/en/products/transbase/features.html

Developer

Chris Davis

Boiler Bay Inc.

4 Paradigm Inc.

Transaction Software GmbH

Initial release

2006

2002

2020

1987

Current release

4.0

2024-2 February 2024

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

commercial

free development license

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

Python

Java

C++, Java, Scala

C and C++

Server operating systems

Linux
Unix

All OS with a Java VM

Linux

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

yes

nested virtual Java Maps, multi-value, logical â€˜tuple spaceâ€™ runtime Schema upgrade

Fixed schema

yes

Typing

predefined data types such as float or date

Numeric data only

yes

all Java primitives, Date, CLOB, BLOB, huge sparse arrays

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.

Secondary indexes

manual creation possible, using inversions based on multi-value capability

yes

SQL

Support of SQL

yes

APIs and other access methods

HTTP API
Sockets

Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/docs/ItemSpaceDataStructures.htm)

JDBC
SQLAlchemy

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

JavaScript (Node.js)
Python

Java

C++
Go
Java
Python
Scala

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

READ-COMMITTED or SERIALIZED

Immediate Consistency

Foreign keys

Referential integrity

manual creation possible, using inversions based on multi-value capability

yes

Transaction concepts

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

ACID

Optimistic locking for transactions; no isolation for bulk loads

yes

Concurrency

Support for concurrent manipulation of data

yes

locking

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

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