Real-time data sync
Instantly synchronize data changes for up-to-date accuracy.
Build data Pipes that capture every data change instantly
Capture every data change in near real-time with our advanced pipes, ensuring accuracy and seamless synchronization. Make smarter, data-driven decisions with confidence
Focus on work that matters more, automate everything else on Fynd Boltic
Key features designed to deliver real-time data insights
Supported partition in BigQuery
Efficiently manage and query large datasets with partitioned tables in BigQuery.
Option to load historical data
Seamlessly integrate past data to ensure comprehensive analysis.
Automatic schema mapping
Simplify data integration with automatic schema alignment.
Create BigQuery dataset
Easily create and manage your own datasets in BigQuery through Fynd Boltic.
Pre-built integrations
Connect effortlessly with a variety of existing systems and tools.
Metrics dashboard
Visualize processed data, monitor Bolt status, track changes, and access crucial details.
Pause/Resume option
Flexibly control your data flow with pause and resume capabilities in Pipes.
Options for sink mode
Choose between replication and append modes for data sink operations.
Choose from the growing list of 100+ pre-built Integrations
Not all native integrations work seamlessly together, which is why we offer 100+ app integrations. Combine them with our powerful apps to automate anything you need, exactly the way you want it.
Frequently asked questions
If you have more questions, we are here to help and support.
What is real-time data sync?
Real-time data sync ensures that any data changes are instantly synchronized across all systems, providing up-to-date accuracy and consistency.
How does supported partitioning in BigQuery help?
Supported partitioning in BigQuery allows efficient management and querying of large datasets by dividing them into manageable segments, it is based on fields that include timestamp, like- created on, rdited on, etc.
Can I load historical data using your pipes?
Yes, our pipes offer the option to load historical data, ensuring a comprehensive analysis by integrating past data.
What is automatic schema mapping?
Automatic schema mapping simplifies data integration by automatically aligning data schemas between two different systems. Columns in source and destination both are automatically synced based on Fynd Boltic’s intelligent algorithms.
Can I create my own dataset in BigQuery?
Yes, you can easily create and manage your own datasets in BigQuery using our pipes. In pipes you get an option to create a new dataset for new data flowing into the destination.
What are pre-built Integrations?
Pre-Built Integrations allow seamless connection with a variety of existing systems and tools, simplifying the integration process.
What can I see in the metrics dashboard?
The metrics dashboard allows you to visualize processed data, monitor the status of pipes, track changes, and access various other crucial details.
How does the pause/resume option work?
The pause/resume option provides flexible control over your data flow, allowing you to pause and resume data processing as needed.
What are the sink mode options?
There are two sink mode options available: replication-which duplicates data, and append- which adds new data to existing datasets.
How does real-time inventory management work?
Real-time inventory management continuously tracks inventory levels, predicts stock shortages and surpluses, and triggers automatic restocking orders to optimize distribution.