Acceldata Wins InfoWorld’s 2023 Technology of the Year Award
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Control Your
Snowflake Costs

Avoid unnecessary spend on Snowflake warehouses, stop runaway queries, right-size underutilized compute, and more

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Be efficient in fine-tuning, support, and maintenance tasks.

Stop

runaway consumption and cost spikes with timely alerts and notifications.

Trace

root causes of cost overruns and owners with 65% faster MTTR**

Forecast

data and compute budgets with 97% accuracy

X-ray Snowflake account usage, Optimize ROI with precise tips.

Try Acceldata free for 30 days

Identify wasted spend in 30 minutes
Connect your data sources or use sample demo data
Guided experiences and email/phone assistance
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For Platform Teams

Operational health checks to improve Data Ops & infrastructure

Switch from batch or periodic sprints to continuous, automated, real-time monitoring and optimization of resources: underutilized clusters, workflows, DLT pipelines, job runs, notebooks and queries, and overprovisioned roles and privileges.
Stretch your Snowflake credits and avoid runaway consumption. Enforce guardrails and stay abreast of the latest best practices via automated codification into your data observability solution.
75% fewer performance-related incidents, and reduce time spent on finetuning, support and maintenance with continuously-ON monitoring, RCA, automated remediation with recommendations, alerts and notifications
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Metrics

Speed up migration to Snowflake

Acceldata’s capabilities such as data drift, schema drift, reconciliation help speed migration to Snowflake.  Migrate thousands of pipelines across hundreds of sources with ease.
15%
faster migrations and faster time-to-delivery
20%
faster load time and 10% faster query runtime within 2 weeks
20%
productivity improvement in admin and support within a month
10%
productivity improvement in data engineering within a month
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Maximize data quality and eliminate data outages

A single pane of glass for your data environment

Continuously ensure reliability of data and pipelines across your data landscape, in addition to cost and operational optimization

Data Quality Policies and Anomaly Detection

Ensure the reliability and timeliness of data across your data landscape with Acceldata’s continuous and automated data quality monitoring platform.

Leverage anomaly detection and a flexible and highly scalable framework with policies for all the 6 Dimensions of Data Quality (accuracy, completeness, consistency, freshness, validity and uniqueness), data reconciliation, schema drift, and data drift.

Data Pipeline Observability

Gain end-to-end visibility and insights into your data assets and pipelines from start to finish to ensure data gets delivered properly and on-time.

Eliminate operational blindspots and clogged, slow, inefficient or stopped pipelines by continuously observing pipelines such as Kafka and Airflow.

Shift Left and the “1 x 10 x 100 Rule” of Data Quality

Detect problems at the beginning of your data landscape to isolate issues before they hit your Databricks Lakehouse or before they affect downstream analytics and consumption.

Implement the “1 x 10 x 100 Rule” of Data Quality that states that the cost of fixing a problem increases exponentially as you move from the source or ingestion zone to the consumption zone or Databricks Lakehouse, where it finally lands up

Observability Into All Data Across Your Landscape

Get visibility into all your data in Databricks and across your entire data stack: data-at-rest, data-in-motion, and data-for-consumption.

Trace transformation failures and data inaccuracy across tables and columns with detailed data lineage and by pinpointing the exact root cause.

Ready to start your
data observability journey?