Effectively utilize the power of AI with Databricks.
Helping businesses unify data warehouse and AI
applications with a one-window solution.
Start your Databricks journey with us!
Our experts help you navigate through Databricks with:
We help you unlock all benefits of the
Databricks Lakehouse Platform
Databricks Lakehouse Platform
Get reliable data, secure data sharing, and lightning-fast performance on your data lake.
Enable a single-source of truth for all your data. Empower your data teams with the latest data and ACID transactions and schema enforcement. Scale your data insights seamlessly by running analytics and data projects directly on data lakes. Improve the time-to-insight to 50x faster.
Open data sharing
With Databricks’ native integration with the unity catalog, you can manage and audit shared data across organizations from a single point. Collaborate and coordinate with partners, suppliers, and vendors at speed without compromising on security or compliance.
Databricks’ Apache Spark™ works at the backend, optimized with performance features to deliver scale and speed on ETL workloads executions.
With all your data stored in open Apache Parquet format, you can allow it to be read by any compatible readers. With open and compatible APIs, you get access to an open source ecosystem to avoid data lock-ins.
Automated data engineering
We help you easily build and manage data pipelines for high-quality data on the delta lake. This will simplify ETL development and management declarative pipeline development, improved data reliability, and cloud-scale production operations.
Security and governance
We help you reduce the risk of fine-grained security for data governance. With the Databricks platform in place, you can update data quickly and accurately to comply with changing regulations for improved governance.
Get a serverless data warehouse to run SQL and BI applications better, and at scale.
Get a data-centric approach to machine learning to accelerate your AI projects.
Empower your ML teams to access, explore, and prepare all types of data at any scale without - turn features into production pipelines.
Track all your experiments and logs parameters, metrics, and versioning of data, and model artifacts at each training run. Quickly see history runs, compare, and reproduce past results as needed.
Collaborate with the trained ML model lifecycle, from data to production. Version and move through various stages with approval and governance workflows as per role-based access controls.
Deploy your models as REST API endpoints anywhere you like with a high-end enterprise-grade availability, at scale and with low latency.
Why Choose Analytiqs for Databricks?
Expertise in architecture, roadmap, and tool rationalization strategies
Consultation with experts having an in-depth understanding of Databricks
On-time implementation based on hands-on experience with Databricks
Innovative solutions and accelerators to speed up the migration
Optimized costs and faster implementations for greater ROI