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Which is more popular?
Based on our record, LemonLDAP::NG
should be more popular than mlsql.
It has been mentioned 5 times since March 2021.
social mentions
5 vs 2
Identity Provider popularity
100% vs 0%
alternatives listed
59 vs 1
Base details
Website, pricing, platforms and company facts side by side.
Open Source LemonLDAP::NG is a free and open-source software, which means there are no licensing fees and the source code can be reviewed and modified according to your needs.
Highly Customizable The software allows for extensive customization to fit various authentication and authorization needs, supporting multiple protocols such as SAML, OpenID Connect, and CAS.
Comprehensive Feature Set It offers a range of features including single sign-on (SSO), multifactor authentication (MFA), identity federation, and more, making it a complete solution for identity and access management.
Community Support Being an open-source project, LemonLDAP::NG has a supportive community and extensive documentation available for troubleshooting and expanding its capabilities.
Possible disadvantages
Complexity Due to its extensive features and configuration options, the initial setup and configuration can be complex and time-consuming, requiring knowledge of various authentication protocols.
Scalability Concerns While suitable for many use cases, some users may find LemonLDAP::NG challenging to scale for very large deployments, requiring additional tuning or infrastructure adjustments.
Limited Vendor Support As an open-source solution, it may lack the dedicated vendor support that comes with proprietary offerings, meaning organizations might need to rely on community support or internal expertise.
Learning Curve Organizations new to identity management solutions may face a steep learning curve, as the system requires understanding of various underlying technologies and protocols.
No features have been listed yet.
Analysis
An editorial look at what each product does well and who it suits.
LemonLDAP::NGmlsql
No analysis of LemonLDAP::NG yet.
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
Beyond it is basic functionalities, LemonLDAP offers a comprehensive session management system, rich authentication backend list (LDAP, Active Directory, SAML, Facebook, Twitter, LinkedIn, and OpenID connect), access...
Recommendations tracked on public social media and blogs since March 2021.
LemonLDAP::NG5 mentionsmlsql2 mentions
Home page for docker containers with 2FA
The trick is to look from the other direction, LemonLDAP::NG is an SSO system that includes a dashboard.
Source:
over 3 years ago
Self hosted user management solutions with LDAP?
If you want to see a completely amazing Open Source IdAM solution, check out LemonLDAP:NG (AKA LL:NG) at https://lemonldap-ng.org/.
Source:
almost 4 years ago
How do I add SSO to my own application?
If you want a SSO gateway to proxy to your app, look at https://lemonldap-ng.org/.
Source:
almost 4 years ago
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
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