DBMS > Riak KV vs. SvectorDB

System Properties Comparison Riak KV vs. SvectorDB

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Editorial information provided by DB-Engines

Name

Description

Distributed, fault tolerant key-value store

Serverless cloud-native vector database

Primary database model

Key-value store

with links between data sets and object tags for the creation of secondary indexes

Vector DBMS

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

Score	3.21
Rank	#82	Overall
	#11	Key-value stores

Score	0.00
Rank	#385	Overall
	#21	Vector DBMS

Website

svectordb.com

Technical documentation

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

www.svectordb.com/docs

Developer

OpenSource, formerly Basho Technologies

SvectorDB

Initial release

2009

2023

Current release

3.2.0, December 2022

License

Commercial or Open Source

Open Source

Apache version 2, commercial enterprise edition

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Erlang

Server operating systems

Linux
OS X

server-less

Data scheme

schema-free

Typing

predefined data types such as float or date

string, double, vector

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

SQL

Support of SQL

APIs and other access methods

HTTP API
Native Erlang Interface

OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK

Supported programming languages

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

Server-side scripts

Stored procedures

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

links between data sets can be stored

Transaction concepts

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

yes, using Riak Security

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More resources

Recent citations in the news

Basho Revamps Riak Open-Source Database
17 September 2014, InformationWeek

NoSQL pioneer Basho stamps its mark on time stamp data with Riak TS
6 October 2015, theregister.com

A Critique of Resizable Hash Tables: Riak Core & Random Slicing
26 August 2018, infoq.com

Enterprise NoSQL Database for the IoT Becomes Open Source
12 May 2016, Engineering.com

Basho distributes Riak to more customers
28 November 2013, Data Center Dynamics

provided by Google News

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