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What is tap?

Easily transform your spreadsheets and data files into production-ready APIs without any backend coding required. Just upload your data in formats such as CSV, JSONL, or Parquet, utilize user-friendly SQL commands to clean and combine your datasets, and promptly generate secure and well-documented API endpoints. The platform boasts numerous built-in features, including automated OpenAPI documentation, API key-based security measures, geospatial filtering via H3 indexing, usage analytics, and rapid query performance. Furthermore, you can download the reformatted datasets whenever you wish, allowing for freedom from vendor lock-in. This solution is versatile enough to handle everything from single files and merged datasets to public data portals with minimal setup needed. Some notable features include: - Seamless creation of secure, documented APIs directly from CSV, JSONL, and Parquet files. - The capacity to run familiar SQL queries for data cleaning, joining, and enrichment tasks. - No backend setup or server upkeep necessary, making the process user-friendly and straightforward. - Automatic OpenAPI documentation creation for every API endpoint established. - Improved security protocols through API key protection and isolated data storage. - Advanced geospatial filtering capabilities, H3 indexing, and fast, scalable query optimization. - Capable of supporting various data integration scenarios, making it adaptable for numerous applications. Additionally, the intuitive interface ensures users of all skill levels can navigate the system with ease.

What is DataKitchen DataOps Automation?

DataKitchen is a data quality, observability, and DataOps automation platform developed to help organizations manage reliable data pipelines and analytics processes. The platform combines automated testing, operational monitoring, workflow orchestration, and deployment management across existing enterprise data infrastructure. Its DataOps Data Quality TestGen product profiles database tables and columns to identify data characteristics, detect anomalies, and automatically generate validation tests. TestGen analyzes 55 column characteristics and supports 34 automatically generated test types, along with configurable business rules and custom SQL validations. Data quality monitoring helps teams identify issues involving missing values, duplicate records, schema changes, unusual data distributions, and other conditions that may affect analytics accuracy. DataOps Process Observability monitors the complete journey of data from source systems through transformation pipelines and analytical applications to downstream consumers. Its unified event monitoring capabilities collect execution statuses, operational metrics, logs, and test outcomes from connected data tools to provide visibility into pipeline health. Rule-based alerting notifies teams about failures, late data arrivals, and test regressions through integrations with email, Slack, Microsoft Teams, and Jira. DataOps Automation enables organizations to coordinate pipelines across different tools, create isolated development environments, reuse workflow components, and automate deployment from development through production. The platform supports integrations with Snowflake, Databricks, BigQuery, Amazon Redshift, PostgreSQL, Airflow, dbt, Azure Data Factory, and other data engineering technologies.

Media

Media

Integrations Supported

Integrations Supported

Docker
Git
GitHub
Google Cloud BigQuery
Jenkins
Jira
Kubernetes
PostgreSQL
SQL Server
Slack
Snowflake

API Availability

API Availability

Pricing Information

$10/month
1GB storage limits to upload files
10,000 requests per month request limits
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Digital Society

Date Founded

2023

Company Location

United Kingdom

Company Website

tapintodata.com

Company Facts

Organization Name

DataKitchen

Date Founded

2013

Company Location

United States

Company Website

datakitchen.io

Categories and Features

Data Pipeline

Not specified

Categories and Features

Automated Testing

Not specified

Data Observability

Not specified

Data Pipeline

Not specified

Data Quality

Not specified

DataOps

Not specified

Popular Alternatives

Popular Alternatives