DBMS > Hypertable vs. OpenTSDB vs. Realm vs. STSdb vs. WakandaDB

System Properties Comparison Hypertable vs. OpenTSDB vs. Realm vs. STSdb vs. WakandaDB

Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

An open source BigTable implementation based on distributed file systems such as Hadoop

Scalable Time Series DBMS based on HBase

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

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

Score	1.73
Rank	#147	Overall
	#12	Time Series DBMS

Score	7.71
Rank	#52	Overall
	#9	Document stores

Score	0.06
Rank	#365	Overall
	#55	Key-value stores

Score	0.09
Rank	#352	Overall
	#16	Object oriented DBMS

Website

opentsdb.net

realm.io

github.com/STSSoft/STSdb4

wakanda.github.io

Technical documentation

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

realm.io/docs

wakanda.github.io/doc

Developer

Hypertable Inc.

currently maintained by Yahoo and other contributors

Realm, acquired by MongoDB in May 2019

STS Soft SC

Wakanda SAS

Initial release

2009

2011

2014

2011

2012

Current release

0.9.8.11, March 2016

4.0.8, September 2015

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

GNU version 3. Commercial license available

Open Source

LGPL

Open Source

GPLv2, commercial license available

Open Source

AGPLv3, extended commercial license available

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

C++

Java

C++, JavaScript

Server operating systems

Linux
OS X
Windows

an inofficial Windows port is available

Linux
Windows

Android
Backend: server-less
iOS
Windows

Windows

Linux
OS X
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

numeric data for metrics, strings for tags

yes

primitive types and user defined types (classes)

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

restricted

only exact value or prefix value scans

yes

SQL

Support of SQL

APIs and other access methods

C++ API
Thrift

HTTP API
Telnet API

.NET Client API

RESTful HTTP API

Supported programming languages

C++
Java
Perl
PHP
Python
Ruby

Erlang
Go
Java
Python
R
Ruby

.Net
Java

with Android only
Objective-C
React Native
Swift

C#
Java

JavaScript

Server-side scripts

Stored procedures

runs within the applications so server-side scripts are unnecessary

yes

Triggers

yes

Change Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor on file system level

selectable replication factor

based on HBase

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Immediate Consistency

Foreign keys

Referential integrity

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

In-Memory realm

User concepts

Access control

yes

More information provided by the system vendor

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More resources

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