DBMS > ITTIA vs. OpenTSDB vs. Transwarp StellarDB

System Properties Comparison ITTIA vs. OpenTSDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

Edge Time Series DBMS with Real-Time Stream Processing

Scalable Time Series DBMS based on HBase

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Time Series DBMS

Graph DBMS

Secondary database models

Relational DBMS

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

Score	0.43
Rank	#253	Overall
	#21	Time Series DBMS

Score	1.46
Rank	#144	Overall
	#13	Time Series DBMS

Score	0.00
Rank	#381	Overall
	#40	Graph DBMS

Website

www.ittia.com

opentsdb.net

www.transwarp.cn/en/product/stellardb

Technical documentation

opentsdb.net/docs/build/html/index.html

Developer

ITTIA L.L.C.

currently maintained by Yahoo and other contributors

Transwarp

Initial release

2007

2011

Current release

8.7

License

Commercial or Open Source

commercial

Open Source

LGPL

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C and C++

Java

Server operating systems

Linux
Windows

Data scheme

Fixed schema

schema-free

Typing

predefined data types such as float or date

Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval

numeric data for metrics, strings for tags

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

yes

SQL-like query language

APIs and other access methods

JDBC
ODBC
RESTful HTTP API
WebSocket

HTTP API
Telnet API

OpenCypher

Supported programming languages

C
C++
JavaScript (Node.js)
Python

Erlang
Go
Java
Python
R
Ruby

Server-side scripts

Stored procedures

yes

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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

Database file passwords

yes

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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