DBMS > InfluxDB vs. OrientDB vs. Transwarp StellarDB

System Properties Comparison InfluxDB vs. OrientDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

DBMS for storing time series, events and metrics

Multi-model DBMS (Document, Graph, Key/Value)

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Time Series DBMS

Document store
Graph DBMS
Key-value store

Graph DBMS

Secondary database models

Spatial DBMS

with GEO package

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

Score	21.54
Rank	#28	Overall
	#1	Time Series DBMS

Score	2.71
Rank	#91	Overall
	#16	Document stores
	#6	Graph DBMS
	#14	Key-value stores

Score	0.00
Rank	#382	Overall
	#40	Graph DBMS

Website

www.influxdata.com/products/influxdb-overview

orientdb.org

www.transwarp.cn/en/product/stellardb

Technical documentation

docs.influxdata.com/influxdb

www.orientdb.com/docs/last/index.html

Developer

OrientDB LTD; CallidusCloud; SAP

Transwarp

Initial release

2013

2010

Current release

2.7.6, April 2024

3.2.29, March 2024

License

Commercial or Open Source

Open Source

MIT-License; commercial enterprise version available

Open Source

Apache version 2

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

Server operating systems

Linux
OS X

through Homebrew

All OS with a Java JDK (>= JDK 6)

Data scheme

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

Typing

predefined data types such as float or date

Numeric data and Strings

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

yes

SQL

Support of SQL

SQL-like query language

SQL-like query language, no joins

SQL-like query language

APIs and other access methods

HTTP API
JSON over UDP

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

OpenCypher

Supported programming languages

.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

Java, Javascript

Triggers

Hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

in enterprise version only

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

in enterprise version only

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

could be achieved with distributed queries

Foreign keys

Referential integrity

yes

relationship 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.

yes

Depending on used storage engine

User concepts

Access control

simple rights management via user accounts

Access rights for users and roles; record level security configurable

yes

More information provided by the system vendor

News

Building Smarter Manufacturing Systems with Bosch Rexroth and InfluxDB
23 April 2025

Build a Time Series Forecasting Pipeline in InfluxDB 3 Without Writing Code
17 April 2025

InfluxDB 3 Core & Enterprise GA: The Next Generation Time Series Platform for Developers is Here
15 April 2025

Deadman Alerts with the Python Processing Engine
9 April 2025

Optimizing SQL (and DataFrames) in DataFusion: Part 2
3 April 2025

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More resources

DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

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

show all

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

InfluxData rolls out InfluxDB 3 to power real-time apps at scale
15 April 2025, Blocks and Files

InfluxData Releases InfluxDB 3 Core and InfluxDB 3 Enterprise
16 April 2025, Database Trends and Applications

InfluxData Announces General Availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, Simplifying How Developers Build with Time Series Data
15 April 2025, Business Wire

InfluxDB 3 Core & Enterprise bring high-speed data tools
17 April 2025, IT Brief Asia

Time series data: AWS/InfluxDB team up for open-source innovation
7 April 2025, SiliconANGLE

provided by Google News

(PDF) A Benchmark for Performance Evaluation of a Multi-Model Database vs. Polyglot Persistence
12 December 2024, ResearchGate

Nordstrom, Inc. Selects CallidusCloud for OrientDB Enterprise Edition
3 April 2018, GlobeNewswire

OrientDB: A Flexible and Scalable Multi-Model NoSQL DBMS
21 January 2022, Open Source For You

The 12 Best Graph Databases to Consider for 2025
1 January 2025, solutionsreview.com

15+ Best Database Software and Systems: Full Analysis
17 October 2023, Themeisle

provided by Google News

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