DBMS > Bangdb vs. Riak TS vs. Rockset vs. YottaDB

System Properties Comparison Bangdb vs. Riak TS vs. Rockset vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

Converged and high performance database for device data, events, time series, document and graph

Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV

A scalable, reliable search and analytics service in the cloud, built on RocksDB

A fast and solid embedded Key-value store

Primary database model

Document store
Graph DBMS
Time Series DBMS

Time Series DBMS

Document store

Key-value store

Secondary database models

Spatial DBMS

Relational DBMS
Search engine

Relational DBMS

using the Octo plugin

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

Score	0.07
Rank	#346	Overall
	#47	Document stores
	#35	Graph DBMS
	#32	Time Series DBMS

Score	0.17
Rank	#318	Overall
	#27	Time Series DBMS

Score	1.07
Rank	#180	Overall
	#31	Document stores

Score	0.21
Rank	#309	Overall
	#43	Key-value stores

Website

bangdb.com

rockset.com

yottadb.com

Technical documentation

docs.bangdb.com

www.tiot.jp/riak-docs/riak/ts/latest

docs.rockset.com

yottadb.com/resources/documentation

Developer

Sachin Sinha, BangDB

Open Source, formerly Basho Technologies

Rockset

YottaDB, LLC

Initial release

2012

2015

2019

2001

Current release

BangDB 2.0, October 2021

3.0.0, September 2022

License

Commercial or Open Source

Open Source

BSD 3

Open Source

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, C++

Erlang

C++

Server operating systems

Linux

Linux
OS X

hosted

Docker
Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

yes: string, long, double, int, geospatial, stream, events

dynamic typing

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.

ingestion from XML files supported

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

restricted

all fields are automatically indexed

SQL

Support of SQL

SQL like support with command line tool

yes, limited

Read-only SQL queries, including JOINs

by using the Octo plugin

APIs and other access methods

Proprietary protocol
RESTful HTTP API

HTTP API
Native Erlang Interface

HTTP REST

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

C
C#
C++
Java
Python

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Go
Java
JavaScript (Node.js)
Python

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

Erlang

Triggers

yes, Notifications (with Streaming only)

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

Sharding

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor, Knob for CAP (enterprise version only)

selectable replication factor

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Eventual Consistency

Foreign keys

Referential integrity

links between datasets can be stored

Transaction concepts

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

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes, run db with in-memory only mode

yes

User concepts

Access control

yes (enterprise version only)

Access rights for users and organizations can be defined via Rockset console

Users and groups based on OS-security mechanisms

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More resources

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