EU VAT and OSS preparation for creators and small SaaS. Brings your sales from each platform into one view, applies the right VAT rate per country, and prepares quarterly OSS figures for you or your accountant to review and file.
sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Which is more popular?
Based on our record, mlsql
seems to be more popular. It has been mentioned
2 times
since March 2021.
social mentions
2 vs 0
Web App popularity
100% vs 0%
alternatives listed
1 vs 52
Base details
Website, pricing, platforms and company facts side by side.
Comprehensive Software Suite DATEV offers a wide range of software solutions for accounting, payroll, and tax management, which makes it a one-stop solution for businesses and tax professionals.
Integration Capabilities DATEV software can integrate with other business applications, allowing for seamless data exchange and improved workflow efficiency.
Reputation and Trust DATEV is a well-known and trusted company in Germany, with a long history of providing reliable services to businesses and tax consultants.
Expert Support Users of DATEV benefit from expert support and resources, which can help resolve issues quickly and improve the use of the software.
Data Security DATEV places a high emphasis on data security, ensuring that sensitive information is protected through robust security measures and compliance with regulations.
Possible disadvantages
Complexity Due to the comprehensive nature of the software, it can be complex to set up and use, particularly for small businesses without dedicated IT staff.
Cost DATEV solutions can be expensive, especially for smaller businesses or startups with limited budgets.
Regional Focus DATEV is primarily focused on the German market, which may limit its applicability or appeal to businesses operating in other countries.
Learning Curve New users might face a steep learning curve, requiring training and time to fully utilize all the features and functionalities of the software.
Limited Customization While the software is comprehensive, there may be limitations in terms of customization options compared to other more flexible solutions.
Analysis
An editorial look at what each product does well and who it suits.
mlsqlDATEV
Overall verdict
MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.
Why this product is good
It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
Open-source and actively developed, allowing customization and community-driven improvements.
Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
Reduces the need to context-switch between separate ETL, analytics, and ML tools.
Recommended for
Data engineers and data scientists who prefer SQL-centric workflows
Teams working with big data on Apache Spark
Organizations wanting to unify ETL and machine learning pipelines
Companies seeking an open-source alternative to fragmented ML tooling
Analysts looking to build ML models without deep programming expertise
Share your experience with using mlsql and DATEV.
For example, how are they different and which one is better?
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
mlsql2 mentionsDATEV0 mentions
Download the files from Docker Container and locally edit them
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being...
Source:
over 4 years ago
FriendlyData
Octobat
Avalara
Thomson Reuters ONESOURCE
Taxamo
CSC Corptax
Symmetry
Exactor
