DBMS > Cachelot.io vs. Coveo vs. JaguarDB vs. ReductStore vs. SAP IQ

System Properties Comparison Cachelot.io vs. Coveo vs. JaguarDB vs. ReductStore vs. SAP IQ

Editorial information provided by DB-Engines

Name

Description

In-memory caching system

AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development

Performant, highly scalable DBMS for AI and IoT applications

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Columnar RDBMS optimized for Big Data analytics

Primary database model

Key-value store

Search engine

Key-value store
Vector DBMS

Time Series DBMS

Relational DBMS

column-oriented

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

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

Score	2.28
Rank	#114	Overall
	#11	Search engines

Score	0.00
Rank	#383	Overall
	#60	Key-value stores
	#13	Vector DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	2.75
Rank	#104	Overall
	#53	Relational DBMS

Website

cachelot.io

www.coveo.com

www.jaguardb.com

github.com/reductstore
www.reduct.store

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

Technical documentation

docs.coveo.com

www.jaguardb.com/support.html

www.reduct.store/docs

help.sap.com/docs/SAP_IQ

Developer

Coveo

DataJaguar, Inc.

ReductStore LLC

SAP, formerly Sybase

Initial release

2015

2012

2015

2023

1994

Current release

3.3 July 2023

1.9, March 2024

16.1 SPS04, April 2019

License

Commercial or Open Source

Open Source

Simplified BSD License

commercial

Open Source

GPL V3.0

Open Source

Business Source License 1.1

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

the server part. Clients available in other languages

C++, Rust

Server operating systems

FreeBSD
Linux
OS X

hosted

Linux

Docker
Linux
macOS
Windows

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema-free

hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration

yes

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

SQL

Support of SQL

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

APIs and other access methods

Memcached protocol

RESTful HTTP API

JDBC
ODBC

HTTP API

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

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

C#
Java
JavaScript
Python

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C++
JavaScript (Node.js)
Python
Rust

C
C#
C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

Sharding

shared disk or shared nothing architectures with SAP IQ Multiplexer

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Multi-source replication

SAP/Sybase Replication Server

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

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.

User concepts

Access control

granular access controls, API key management, content filters

rights management via user accounts

fine grained access rights according to SQL-standard

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