Lattice
Lattice is an open source data engineering platform that enables teams to easily build, share and deploy data pipelines in real-time. It is a low-code solution that supports data warehousing, ETL, dashboarding, machine learning and more.
open-source
data-pipelines
etl
data-warehousing
dashboarding
machine-learning
Lattice: Open Source Data Engineering Platform
An open source data engineering platform for building, sharing and deploying data pipelines in real-time with a low-code solution supporting data warehousing, ETL, dashboarding, machine learning and more.
What is Lattice?
Lattice is an open source data engineering platform built on top of foundationDB that provides data teams a unified way to build, deploy, and manage data pipelines in real-time. Some key capabilities and benefits of Lattice include:
- Low-code environment to build scalable data pipelines with just SQL and little coding
- Real-time data ingestion and processing to enable building near real-time analytics and machine learning models
- Unified data model across pipelines with automatic schema management as data changes over time
- Shared data objects and pipelines to promote reuse and collaboration
- Built-in monitoring, alerting and lineage tracking
- Deploy and run pipelines across various runtimes like Spark, database PL/SQL, serverless etc
- Auto-scaling infrastructure to handle varying workloads
- Integrated notebook experience for ad hoc data analysis
- Open source foundationDB powered storage layer for scalability and resilience
With its low-code capabilities and unified environment, Lattice simplifies building modern data applications compared to alternatives like Apache Airflow, dbt or Kafka. It can handle use cases ranging from cloud ETL, real-time analytics to machine learning.
Lattice Features
Features
- Low-code ETL pipeline builder
- Real-time data pipelines
- Open source
- Supports common data sources and destinations
- Visual workflow editor
- Built-in monitoring and alerts
- Role-based access control
- Scalable and distributed execution
Pricing
- Open Source
Pros
Easy for non-engineers to build pipelines
Real-time data processing
Free and open source
Integrates with many data tools
Visual pipeline design
Alerting for pipeline issues
Access control for security
Horizontally scalable
Cons
Less flexibility than writing custom code
Limited prebuilt components compared to commercial ETL
Limited enterprise features like SSO
Not optimized for extremely large data volumes
Steep learning curve for some advanced features
Need infrastructure to deploy and manage
Official Links
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