What Does It Do?
Data Pipes is a dataops & insights generation platform that helps analytics and IT teams to control, trust & democratize their data by automating its practices.
Ingest At Scale
Application and infrastructure source code is combined as a configuration artifact which generates an observability file based on the resources being provisioned.
Safe & Secure
By owning the entire pipeline we can control data tightly delivering security (GDPR) & trust (data quality).
Have confidence that your insights can be relied upon.
Analyse ingested data by easy integrations with Jupyter Notebooks and BI tools.
Who is it for 🤩
One stop solution for standalone data sets, vendor lock-in, data governance, security & sharing, data-driven business solutions
Your Tools & Your Rules
Data Pipes comes with an extensive list of pre-built data source connectors for on-premises and cloud databases, SaaS applications, documents, NoSQL sources, and more to quickly load data into your cloud data environment.
- GCP Pub/Sub
- Oracle Database
- Mongo DB
- Microsoft SQLserver
- AWS Kinesis
A data replication platform that replicates data to your data lake in real-time using state of the art CDC technology.
Quality & Speed
Data Pipes leverages Debezium to securely ingest data in a data lake using Change Data Capture (CDC). Data is perfectly replicated in minutes, with minimal load on the source systems.
Deployed in your cloud
From data sources to your cloud data lake, the data never leaves your cloud. Retain complete control over your data at every stage of the journey.
From an intuitive user interface, Data Analysts can quickly create new data ingestion pipelines without writing any code.
Discover, sort, and organize all your data intelligently to accelerate transition towards data driven business decisions.
Empower your organization with easy access to trusted data.
Find existing datasets in your data lake, understand what the data means and who’s the expert. Share domain knowledge across the organization and easily find which datasets can help work on a use case.
Quickly go from data discovery to analysis or Machine Learning modelling. Share analytics and models through the organization.
Manage and organize your data to enable collaboration and access to only the authorized users. Curtails the risk of data misuse by delivering data which is consistent and secured.
Foster accountability in data use and promote data ethics using classification, tagging and masking of sensitive data to ensure its protection and meet PII compliance.
Understand the full context of your data from end-to-end data visualization. With granular level analysis, know where the data is coming from, how it is being used and who is using it.
A team of certified data scientists, engineers & hundreds of data consulting hours
we can help you transform your data operations with state-of-the-art techniques and proprietary solutions.
- Complex Migrations with Zero Downtime
- Real-time Migrations with best practices
- Datalake Setup across Multiple Clouds
- Automated Ingestion & Transformation Pipelines
- Performant & Efficient Data Warehouses
- State-of-the-art Reports
- Advanced AI/ML Pipelines for Complex Predictions
- Performance Tuning of Managed Databases
- Best Practices for Cluster Health & Performance
- Smoother Execution with Enriched Data Pipelines
- Timely Resolution of Issues
- Patches & Code Upgrades
Machine Learning Ops
- Automate Model Tuning, Optimisation & Deployment
- Infrastructure Provisioning
- Roles, Security & Network Provisioning