
Base SAS
EViews
IBM SPSS Statistics
Stata
JMP
SAS/STAT
KNIME Analytics Platform
NumXL is a Microsoft Excel time series software add-in.
AI2sql
Text2SQL.AI
Vanna AI
TTSQL
Speak To Your Database
ThoughtSpot
AskYourDatabase
Generate SQL queries using text

Which is more popular?
Website, pricing, platforms and company facts side by side.
|
|
TSQ
Txt2SQL
|
|
|---|---|---|
| Website | spiderfinancial.com | txt2sql.com |
| Pricing | — | |
| Company | — | 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of NumXL yet.
Text2SQL generates optimized SQL queries based on plain text and custom database schema
What each product offers, as listed by its team.

Possible disadvantages
Possible disadvantages
Walkthroughs and reviews on video.
NumXL 1.63 Overview
More videos
No Txt2SQL videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using NumXL and Txt2SQL. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.

1. NumXL offers a full set of time series analysis tools for evaluating and forecasting time-dependent data, including descriptive statistics, autocorrelation analysis, spectrum analysis, ARIMA modeling, GARCH...
We have no reviews of Txt2SQL yet. Be the first one to post
When comparing NumXL and Txt2SQL, you can also consider the following products.

Base SAS Software is an easy-to-learn fourth-generation programming language for data access, transformation and reporting.
Compare Base SAS to NumXL or Txt2SQL:

✔️ With AI2sql, engineers and non-engineers can easily write efficient, error-free SQL queries without knowing SQL.✔️ Querying has never been easier.
Compare AI2sql to NumXL or Txt2SQL:

EViews (Econometric Views) is a statistical package for Windows, used mainly for time-series...
Compare EViews to NumXL or Txt2SQL:


IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
Compare IBM SPSS Statistics to NumXL or Txt2SQL:
