Saving Money is Just a Side Effect
Implementing a Data Fabric allows you to control how your data is handled by deciding what to store, what to convert into metrics, and what to discard. This reduces storage and processing costs while also speeding up data searches, making your system more efficient and cost-effective.
Why do we need a Data Engine
What Job Does a Data Engine Do?
Using a Data Engine over traditional SIEM collectors offers significant advantages in terms of processing power, scalability, flexibility, real-time analytics, and cost efficiency. This shift enables organizations to handle more complex and larger datasets, providing deeper insights and more effective security and operational management.
- Cost Reduction: A common problem in data collection is that we do not want all the data. When a Data Engine routes, instead of storing unwanted data it can drop the data. This saves money on storage costs, but also enhances search speed.
- Parsing: Often the data we collect is not in the same format that the receiving application wants. A Data Engine can transform the data, such as parsing.
- Data Enrichment: Besides parsing, a Data Engine can enrich the data by performing lookups, like geo-IP or file hash checks. This enrichment can focus on particular fields or combination of fields reducing false positives.
- Vendor Agnostic: Ingext is a vendor-agnostic data collection tool that allows users to collect, process, and route data from any source to any destination without being locked into a specific vendor. This means that collected data can also be shared, for example to send to Splunk, DataDog, or ChaosSearch.
- Resilient Operations: Ingext provides a resilient data collection and processing platform that ensures data is collected and processed even in the event of failures. This ensures that data is not lost and that operations continue to run smoothly.
Streamline Collection
What is a Data Engine?
Data within an enterprise resides in numerous locations, making it a complex task to gather and analyze it effectively for IT operations and security. Ingext simplifies this process streamlining data collection, analysis, and storage, ensuring that enterprises can scale managing their data seamlessly across diverse environments.
- Data Processing: Capabilities for transforming, aggregating, and enriching data as it is ingested or retrieved while in the stream.
- Data Routing: To act on the transformed data be determine what data is stored, and where it is to be sent.
- Scalability and Performance: The ability to scale compute and storage resources independently to handle varying workloads, ensuring high performance even as data volumes increase.
- Fault Tolerance and Reliability: Mechanisms to ensure data availability and consistency even in the event of hardware failures or network issues, often through replication, redundancy, and automated recovery processes.