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What is SlashDB?

SlashDB transforms relational databases into a RESTful API, allowing users to effortlessly read and write data in intuitive formats like XML, JSON, and CSV. In addition, it facilitates seamless data exploration through HTML navigation, which helps users discover available databases, tables, queries, and API endpoints. Acting as a centralized access point for various databases, SlashDB successfully creates a robust resource-oriented architecture (ROA) that serves as an API gateway for those in need of data. Each database is equipped with a web service shell that converts its relational data structures into a consistent library of uniform resource locators (URLs). Following REST principles, every data element receives a unique identifying URL, regardless of whether it is a simple scalar value or a complex nested arrangement of interconnected records. This feature not only improves data organization but also significantly enhances accessibility, simplifying the process for developers to integrate and utilize diverse data sources. By streamlining these interactions, SlashDB ultimately empowers users to engage with data more effectively and efficiently.

What is DuckDB?

Managing and storing tabular data, like that in CSV or Parquet formats, is crucial for effective data management practices. It's often necessary to transfer large sets of results to clients, particularly in expansive client-server architectures tailored for centralized enterprise data warehousing solutions. The task of writing to a single database while accommodating multiple concurrent processes also introduces various challenges that need to be addressed. DuckDB functions as a relational database management system (RDBMS), designed specifically to manage data structured in relational formats. In this setup, a relation is understood as a table, which is defined by a named collection of rows. Each row within a table is organized with a consistent set of named columns, where each column is assigned a particular data type to ensure uniformity. Moreover, tables are systematically categorized within schemas, and an entire database consists of a series of these schemas, allowing for structured interaction with the stored data. This organized framework not only bolsters the integrity of the data but also streamlines the process of querying and reporting across various datasets, ultimately improving data accessibility for users and applications alike.

Media

Media

Integrations Supported

AnalyticsCreator
Databricks Data Intelligence Platform
DbGate
DbVisualizer
Flyte
GetDot.ai
Kestra
LanceDB
MotherDuck
PuppyGraph
QStudio
Quary
SQL
SkySQL
Streamkap
Supaboard
Tad
Union Cloud
Unity Catalog
Vanna.AI

Integrations Supported

AnalyticsCreator
Databricks Data Intelligence Platform
DbGate
DbVisualizer
Flyte
GetDot.ai
Kestra
LanceDB
MotherDuck
PuppyGraph
QStudio
Quary
SQL
SkySQL
Streamkap
Supaboard
Tad
Union Cloud
Unity Catalog
Vanna.AI

API Availability

Has API

API Availability

Has API

Pricing Information

$200 per database per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SlashDB

Date Founded

2012

Company Location

United States

Company Website

www.slashdb.com

Company Facts

Organization Name

DuckDB

Company Website

duckdb.org

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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