Lentiq Review

Cross-Environment Portability

Lentiq is a portable and scalable data pool solution that can work in different environments. As such, you can expect to use the same set of applications, data, and user interface even when you switch between multiple cloud platforms.

Apart from that, this enables remote offices to leverage the tools on their own for faster generation of insights.

Multi-Cloud Platform

Since Lentiq data pools are housed in numerous cloud service providers, you can avoid vendor lock-ins. That is while you ensure that your data teams have the resources they need to work in an optimized manner. Moreover, this capability allows you to cut down cloud costs and maximize the skills of every team member.

Publish & Subscribe Concept

Emails are a thing of yesterday when it comes to sharing information among data pools. Lentiq has a subscription feature that allows users to opt-in to notifications whenever additions and other changes are made to relevant data sets.

Jupyter as a Service

Lentiq supports Jupyter as a Service. Members can integrate Jupyter with the system and collaborate on the environment. It even has an automated environment that foregoes the need for an ops team to run it.

Spark as a Service

Aside from Jupyter, Lentiq supports Spark. It can provide you with dedicated clusters for every workload that you may have. It is also reliable and resilient, thus you can count on it for your daily and critical projects.

Data and Metadata Management System

Lentiq makes datasets easy to digest at a single glance by enabling users to add tags and categories. Teams can annotate files and tables, document data and metadata, and enrich data with context. Sharing mechanisms, metadata and code discovery, and cross-cloud data are made available by its Data Store and Cloud Store.

Workflow Manager

Lentiq’s LambdaBook Workflows enables converting notebooks into executable Docker containers, running them as part of workflows. Users can automate the insights discovery right from data ingestion to model development and model serving. This is possible by linking notebooks and applications to solve specific workflow problems.

Reusable Code Blocks

Adapting the code to various environments and reinventing the wheel every time is time-consuming for teams. With Lentiq, users get access to Reusable Code Blocks can be shared across data pools. It can even be executed without adaptation across clouds to speed up the process. Its portability mechanisms serve as an abstraction layer that enables you to run code anywhere, whether the data is on S3 in AWS or GCS in Google.

Model Server

The model server’s multiple instances can start at the same time while unlimited requests are load-balanced between them. External applications get a real-time prediction API through reference endpoints.

Integration with BI Tools

External SQL and Business Intelligence tools can access data in the data pool through Lentiq’s built-in distributed query engine. With that, business analysts can work on more data empowered by Tableau, Qlik and other BI systems.