DBMS > Apache IoTDB vs. Hyprcubd vs. OpenTSDB vs. SAP HANA

System Properties Comparison Apache IoTDB vs. Hyprcubd vs. OpenTSDB vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

A lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and Spark

Serverless Time Series DBMS

Scalable Time Series DBMS based on HBase

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.42
Rank	#253	Overall
	#20	Time Series DBMS

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Score	1.84
Rank	#130	Overall
	#8	Time Series DBMS

Score	55.09
Rank	#21	Overall
	#13	Relational DBMS

Website

iotdb.apache.org

hyprcubd.com

opentsdb.net

www.sap.com/products/hana.html

Technical documentation

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

help.sap.com/hana

Developer

Apache Software Foundation

Hyprcubd, Inc.

currently maintained by Yahoo and other contributors

SAP

Initial release

2018

2011

2010

Current release

2.0 SPS05 (June 26, 2020), June 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

LGPL

commercial

Cloud-based only

Only available as a cloud service

yes

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java VM (>= 1.8)

hosted

Linux
Windows

Appliance or cloud-service

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

numeric data for metrics, strings for tags

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

yes

APIs and other access methods

JDBC

gRPC (https)

HTTP API
Telnet API

JDBC
ODBC

Supported programming languages

Erlang
Go
Java
Python
R
Ruby

Server-side scripts

Stored procedures

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

yes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on HBase

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Integration with Hadoop and Spark

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency with synchronizing with the cloud

Eventual Consistency

Immediate Consistency

based on HBase

Immediate Consistency

Foreign keys

Referential integrity

yes

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

User concepts

Access control

token access

yes

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