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SQLified is a browser-based tool that converts CSV, TSV, and other delimited data files into clean, import-ready SQL —CREATE TABLE plus batched INSERT statements — for PostgreSQL, MySQL, SQLite, and SQL Server.
Unlike free one-off converters that choke around 100K rows, SQLified is built for production-scale loads: it reliably handles files of 1,000,000+ rows. It does smart type inference (INT/BIGINT, NUMERIC scale, dates, booleans, currency), lets you override any column's type, primary key, and nullability, and emits correctly chunked INSERT batches per dialect (including SQL Server's 1000-row limit and MySQL packet limits) so the output imports cleanly the first time.
Free to use for everyday conversions; Pro unlocks the largest files, batched output tuning, and an ad-free experience. A product of Octet Software.
SQLified
Termly.ioTermly.io is recommended for small to medium-sized businesses, startups, and e-commerce sites that need straightforward, reliable legal policy management tools. It is particularly useful for those who are looking to maintain legal compliance across different regions without significant investment in legal resources.
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SQLified's answer
Our ability to infer data types, and produce massive insert statements quickly across multiple dialects.
SQLified's answer
After using many online tools and being disappointed, I realized there was a need for a file that can create clean, type aware sql for bulk inserts. The product saves me tons of time every month dealing with large data sets in the payment industry and has reduced frustrations in dealing with them.
SQLified's answer
There are numerous competitors, but none that do what SQLified does well: this is type inference, and creating runnable SQL script for extremely large inserts in multiple dialects.
SQLified's answer
SQLified is designed for the solo developer, or the analytical employee dealing with large data sets, csv, or delimited files every day, and struggling with bulk insert. I want to eliminate that struggle so the real work can be done.
SQLified's answer
Our tools are simple, effective, and require little processing power. We store no data; all work is "ephemeral" and done on the users machine. We do not track, store, or maintain any datasets whatsoever in regards to whatever is converted on the site. We are also not trying to be something we are not. We do what we do, which is flat file to SQL dialect conversion, and we do it well.
Based on our record, Termly.io seems to be more popular. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
(Note also also that the wording of this privacy policy is primarily cut and pasted from the privacy policy template provided by termly.io). Source: about 3 years ago
Privacy Policy, End User License Agreement, and Terms & Conditions is what you are looking for. I used https://termly.io to create mine. Just make sure that the user accepts these before using your app. It could by with a note saying that by creating an account you agree to this terms. Source: over 3 years ago
It is normally part of whatever system they are required to use in order to apply, yes. I don't know that there's a standard way to do it, as inclusion of that kind of language is usually overseen by legal and has a lot of weird caveats depending on where you're planning to collect data, where you're going to store it, etc. There are a bunch of services online that will generate text depending on your particular... Source: over 3 years ago
One option is to use a privacy policy and terms of service generator like Termly or Privacy Policies. These tools can help you create professional agreements in minutes tailored to your specific needs. Alternatively, you could consult a lawyer to draft custom agreements for your business. It's important to have these documents in place to protect both yourself and your customers. Source: over 3 years ago
For legal docs, the best I've found so far is Termly: https://termly.io/. Source: over 3 years ago
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