What is Acceldata?
Acceldata offers a comprehensive data observability platform designed to help organizations manage and optimize their data ecosystems. The platform provides tools for monitoring data pipelines, ensuring data quality, and controlling data-related costs.
It seamlessly integrates with various cloud platforms, data warehouses, and BI tools, offering a unified view of data health across the entire data stack. This allows for proactive issue detection and resolution, improved data reliability, and optimized resource utilization.
Features
- Data Quality Observability: Automated, real-time quality checks with no-code/low-code rules and smart suggestions.
- Data Pipeline Observability: Proactive monitoring of pipelines from landing zone to consumption, with auto-discovery and mapping of pipeline flows.
- Data Infrastructure Observability: Optimize resource utilization and maximize AI returns.
- Data User Observability: Observing data user behavior.
- Data Cost Observability: Gain visibility into cloud data spending and prevent runaway costs for Databricks and Snowflake.
- AI Copilot: Helps to improve your data observability.
- Anomaly Detection: Identifies unusual patterns and deviations in data.
- Data Reconciliation: Ensures consistency and accuracy across different data sources.
- RBAC & Enterprise Readiness: Role-based access control.
Use Cases
- Preventing and resolving data anomalies to ensure high-quality, AI-ready data.
- Optimizing data pipelines with continuous monitoring, root cause analysis, and data lineage.
- Right-sizing resources and enhancing infrastructure health to achieve cost efficiency.
- Monitoring data lineage and usage across pipelines for trustworthy AI models.
- Improving data reliability by verifying large datasets for data quality.
- Gaining full visibility across all data processing systems.
- Automating performance and optimizing data to scale big data environments.
FAQs
-
Does my data leave the premises?
No, Acceldata observes your data inline so it is highly scalable and secure. -
What types of data can you manage?
We observe structured, unstructured and streaming datasets. -
Do you provide recommendations?
Yes, we provide recommendations on data quality rules to use based on the data context and several others. -
Do you support on-prem and cloud data?
Yes, we can observe data that’s on premises and in the cloud. This makes us ideally suited for cloud migration initiatives. -
Can I customize data quality rules?
Yes, you can customize data quality rules and specify exactly where they apply.