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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

RowCove is a desktop application tailored for Windows and Apple Silicon Macs that allows users to inspect and modify substantial local data files. It supports a variety of structured formats such as CSV, TSV, JSON, JSONL/NDJSON, Parquet, Arrow IPC, and Feather, offering both table and nested-value views for thorough record examination. Users can perform actions like filtering and sorting files, as well as reviewing partition and source information within supported shards, and they can stage changes before creating a separate copy for saving. The design of the application caters specifically to data engineers, AI dataset professionals, and quantitative researchers and analysts who require the ability to analyze exports or research data without needing to convert them to a different format first. Additionally, RowCove includes authorized local Model Context Protocol (MCP) tools for compatible AI clients, which feature schema access, test calls, wire logs, and historical tracking. All processing occurs locally, and the availability of features and overall performance are influenced by the specific file format and the user’s system hardware. Ultimately, RowCove is an essential tool for anyone needing efficient data manipulation and analysis directly on their desktop.

Description

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS IoT SiteWise No 
Eco No 
Hive No 
Micromerce No 
Model Context Protocol (MCP) Yes 
PuppyGraph No 

Integrations

AWS IoT SiteWise Yes 
Eco Yes 
Hive Yes 
Micromerce Yes 
Model Context Protocol (MCP) No 
PuppyGraph Yes 

Pricing Details

$5/month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

RowCove

Website

rowcove.com

Vendor Details

Company Name

Upsolver

Founded

2014

Country

Israel

Website

www.upsolver.com

Product Features

Product Features

Big Data

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

Data Mining

Data Extraction No 
Data Visualization No 
Fraud Detection No 
Linked Data Management No 
Machine Learning No 
Predictive Modeling No 
Semantic Search No 
Statistical Analysis No 
Text Mining No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

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