DBMS > Altibase vs. Cachelot.io vs. Databend vs. Riak TS

System Properties Comparison Altibase vs. Cachelot.io vs. Databend vs. Riak TS

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

In-memory caching system

An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity

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

Primary database model

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

Score	1.07
Rank	#186	Overall
	#87	Relational DBMS

Score	0.00
Rank	#383	Overall
	#60	Key-value stores

Score	0.30
Rank	#287	Overall
	#130	Relational DBMS

Score	0.20
Rank	#319	Overall
	#27	Time Series DBMS

Website

altibase.com

cachelot.io

github.com/datafuselabs/databend
www.databend.com

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

docs.databend.com

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

Developer

Altibase

Databend Labs

Open Source, formerly Basho Technologies

Initial release

1999

2015

2021

2015

Current release

v7.3, 2023, August 2023

1.0.59, April 2023

3.0.0, September 2022

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

Simplified BSD License

Open Source

Apache Version 2.0

Open Source

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++

Rust

Erlang

Server operating systems

AIX
HP-UX
Linux

FreeBSD
Linux
OS X

hosted
Linux
macOS

Linux
OS X

Data scheme

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

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

restricted

SQL

Support of SQL

ANSI SQL-92

yes

yes, limited

APIs and other access methods

JDBC
ODBC
Proprietary protocol

Memcached protocol

CLI Client
JDBC
RESTful HTTP API

HTTP API
Native Erlang Interface

Supported programming languages

C
C++
Java

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby

Go
Java
JavaScript (Node.js)
Python
Rust

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

stored procedures and stored functions

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

links between datasets can be stored

Transaction concepts

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

ACID

yes

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

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept, user roles

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