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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 Upsolver?

Upsolver simplifies the creation of a governed data lake while facilitating the management, integration, and preparation of streaming data for analytical purposes. Users can effortlessly build pipelines using SQL with auto-generated schemas on read. The platform includes a visual integrated development environment (IDE) that streamlines the pipeline construction process. It also allows for Upserts in data lake tables, enabling the combination of streaming and large-scale batch data. With automated schema evolution and the ability to reprocess previous states, users experience enhanced flexibility. Furthermore, the orchestration of pipelines is automated, eliminating the need for complex Directed Acyclic Graphs (DAGs). The solution offers fully-managed execution at scale, ensuring a strong consistency guarantee over object storage. There is minimal maintenance overhead, allowing for analytics-ready information to be readily available. Essential hygiene for data lake tables is maintained, with features such as columnar formats, partitioning, compaction, and vacuuming included. The platform supports a low cost with the capability to handle 100,000 events per second, translating to billions of events daily. Additionally, it continuously performs lock-free compaction to solve the "small file" issue. Parquet-based tables enhance the performance of quick queries, making the entire data processing experience efficient and effective. This robust functionality positions Upsolver as a leading choice for organizations looking to optimize their data management strategies.

Media

Media

Integrations Supported

AWS IoT SiteWise
Eco
Hive
PuppyGraph

Integrations Supported

AWS IoT SiteWise
Eco
Hive
PuppyGraph

API Availability

Has API

API Availability

Has API

Pricing Information

$10/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

Digital Society

Date Founded

2023

Company Location

United Kingdom

Company Website

tapintodata.com

Company Facts

Organization Name

Upsolver

Date Founded

2014

Company Location

Israel

Company Website

www.upsolver.com

Categories and Features

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

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