DBMS > BoltDB vs. Coveo vs. dBASE vs. Heroic vs. YTsaurus

System Properties Comparison BoltDB vs. Coveo vs. dBASE vs. Heroic vs. YTsaurus

Editorial information provided by DB-Engines

Name

Description

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

dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Document store
Key-value store

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

Score	0.80
Rank	#215	Overall
	#31	Key-value stores

Score	2.11
Rank	#118	Overall
	#11	Search engines

Score	9.70
Rank	#44	Overall
	#28	Relational DBMS

Score	0.46
Rank	#265	Overall
	#22	Time Series DBMS

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

github.com/boltdb/bolt

www.coveo.com

www.dbase.com

github.com/spotify/heroic

ytsaurus.tech

Technical documentation

docs.coveo.com

www.dbase.com/support/knowledgebase

spotify.github.io/heroic

ytsaurus.tech/docs/en

Developer

Coveo

Asthon Tate

Spotify

Yandex

Initial release

2013

2012

1979

2014

2023

Current release

dBASE 2019, 2019

License

Commercial or Open Source

Open Source

MIT License

commercial

Open Source

Apache 2.0

Open Source

Apache License, Version 2.0

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

Java

C++

Server operating systems

BSD
Linux
OS X
Solaris
Windows

hosted

DOS

dBase Classic
Windows

dBase Pro

Ubuntu

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

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

via Elasticsearch

SQL

Support of SQL

YQL, an SQL-based language, is supported

APIs and other access methods

RESTful HTTP API

none

The IDE can access other DBMS or ODBC-sources.

HQL (Heroic Query Language, a JSON-based language)
HTTP API

Supported programming languages

C#
Java
JavaScript
Python

dBase proprietary IDE

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

The IDE can access stored procedures in other database systems.

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

not for dBase internal data, but IDE does support transactions when accessing external DBMS

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

Access rights for users and roles

Access Control Lists

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More resources

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