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Simple, Extensible ETL Built For Data Teams

Extract From The Sources That Matter

Load Into The Leading Data Platforms

Analyze With The Leading Tools

Modern Data Pipeline Architecture

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Say Goodbye To Maintaining Integrations.

Automate and sync your data from any SaaS application into your data warehouse. Just use ready-made connectors to connect to any data source – simple as a login process – and your data will start syncing right away. No more integrations to built, data to export or scripts to build. Save hours and unlock insights into your business.

Get Answers And Connect The Dots.

Which customer segment contributes more to revenue? Are we on track to hit our sales targets? How is marketing contributing to sales? Combine data from different sources like sales, marketing or support and surface answers to your business questions.

Increase The Trust In Your Data.

Accelerate your exploration to insights time, with reliable data, analytics-ready tables and schemas, created and optimized for analysis with any BI software.

Data Science Technologies We Work With

Open Source

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Amazon AWS

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A COMPETITIVE
ADVANTAGE

The massive enterprise shift to cloud-built software services combined with ETL and data pipelines offers the potential for organizations to greatly improve and simplify their data processing.

Companies that currently rely on batch ETL processing can begin implementing new continuous processing methodologies without disrupting their current processes. Instead of costly rip-andreplace, the implementation can be incremental and evolutionary, starting with certain types of data or areas of the business. As you review the myriad data pipeline options
available, consider that great data pipelines enable your business to gain a competitive advantage by making better, faster decisions. Just make sure your data pipeline provides continuous data processing; is elastic and agile; uses isolated, independent processing resources; increases data access; and is easy to set up and maintain.

Our Approach

The data pipelines must be cost effective, fast and reliable regardless of the type of the workload and use case. Our approach would be to work closely with clients, understand the requirements and analyze the current systems and help them in providing optimal solutions and best practices.

GET ANALYSIS-READY DATA IN REAL-TIME

Data Service Offerings

  • Easy to deploy and manage; dramatically simplifies your data pipeline and analytics infrastructure
  • Fast time-to-value for important business intelligence and analytic initiatives that impact your bottom line
  • Meet increasing demands for performance and capacity using cost-effective industry building blocks
  • Protect your information with high availability, business continuity, and security

Easy To Setup

Get your data pipelines up and running in a few minutes. Experience a hassle-free data replication at scale.

Zero Maintenance

Leave behind ETL scripts and Cron jobs. Setup once and Hevo manages all your future changes automatically.

Completely Automated

Automate your data flow without writing any custom configuration. Further, Hevo flags and resolves any errors detected.

Schema Management

Be it new column additions, changes in data types or new tables, Hevo automatically handles all future schema changes in your incoming data.

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Fault-Tolerant

Hevo automatically detects any anomaly in the incoming data and notifies you instantly. Further, any affected records within the pipelines are set aside for corrections, ensuring your analytics workflows are never impacted.

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Built To Scale

Hevo is built to handle millions of records per minute without latency, ensuring your data pipelines scale as your business needs change.

White Paper

Case Study

Contact Info

916 402 0228
info@bintelleapps.com

Locations

Suite #2827
1968 S. Coast Hwy
Laguna Beach CA 92651
PHONE: 916 402 0228
EMAIL: info@bintelleapps.com

BTM Layout
Bangalore, INDIA
EMAIL: info@bintelleapps.com

312A Anchrovale Road
Singapore 792312
EMAIL: info@bintelleapps.com

Cottonwood Cres, Macquarie Park
NSW 2113
Australia