Sync Computing

Name: Sync Computing
Brand: Sync Computing
Rating: 3 (1 reviews)

Radically transform cloud infrastructure with ML-powered job clusters to hit SLA goals and lower Databricks costs by 50%

Est 2019|Valuation $42M|Raised $22.9M

LinkedIn 2K|Website|FTEs 23|HQ Cambridge, Massachusetts, US

MarketsCloud Management & FinOps Cloud Cost Management

01Competitive Landscape

Narrative analysis

- Unravel and Sync both reference DBU consumption in pricing and positioning, though Unravel emphasizes broader platform coverage. Claims of percentage reductions in wasted spend are vendor-reported and should be validated by customers. - Cloud-provider tooling can provide a low-cost baseline for rightsizing, but these tools are generally not tailored to Databricks job-level SLA requirements and may not reflect effective rates when reservations or commitments apply. - The vendor has documented participation in the Databricks technology partner program; partnership status should be considered as one factor in risk assessment but does not replace a functional fit evaluation.

	Sync Computing (Gradient)	Unravel Data	AWS Compute Optimizer
Starting Price	Free trial with limited DBUs managed; published per-DBU pricing available from the vendor	Vendor-published entry pricing and DBU-based models; details typically provided in sales engagements	Recommendations are provided at no additional charge for standard features; paid enhanced metrics options exist for some services
Best For	Teams seeking job-level Databricks cluster tuning and visibility with closed-loop recommendation workflows	Organizations seeking broader observability and cost optimization across multiple data platforms	AWS accounts seeking instance and resource rightsizing recommendations (not Databricks-job-specific)
Key Strength	Job-focused optimization workflow and automated recommendation capability suitable for large numbers of recurring jobs	Cross-platform observability and broader optimization narrative	Native integration with AWS services and a lower-friction baseline for AWS resource rightsizing
Key Weakness	Limited independently verifiable public reviews; documented caveat that aggregated cost views may not equal billed costs; potential enterprise networking friction	Pricing and savings claims often require sales validation; vendor-reported savings should be validated	Not designed to meet Databricks job SLAs and may not account for reservation/commitment pricing impacts

01Competitive Landscape

Narrative analysis

Unravel and Sync both reference DBU consumption in pricing and positioning, though Unravel emphasizes broader platform coverage. Claims of percentage reductions in wasted spend are vendor-reported and should be validated by customers.
Cloud-provider tooling can provide a low-cost baseline for rightsizing, but these tools are generally not tailored to Databricks job-level SLA requirements and may not reflect effective rates when reservations or commitments apply.
The vendor has documented participation in the Databricks technology partner program; partnership status should be considered as one factor in risk assessment but does not replace a functional fit evaluation.

	Sync Computing (Gradient)	Unravel Data	AWS Compute Optimizer
Starting Price	Free trial with limited DBUs managed; published per-DBU pricing available from the vendor	Vendor-published entry pricing and DBU-based models; details typically provided in sales engagements	Recommendations are provided at no additional charge for standard features; paid enhanced metrics options exist for some services
Best For	Teams seeking job-level Databricks cluster tuning and visibility with closed-loop recommendation workflows	Organizations seeking broader observability and cost optimization across multiple data platforms	AWS accounts seeking instance and resource rightsizing recommendations (not Databricks-job-specific)
Key Strength	Job-focused optimization workflow and automated recommendation capability suitable for large numbers of recurring jobs	Cross-platform observability and broader optimization narrative	Native integration with AWS services and a lower-friction baseline for AWS resource rightsizing
Key Weakness	Limited independently verifiable public reviews; documented caveat that aggregated cost views may not equal billed costs; potential enterprise networking friction	Pricing and savings claims often require sales validation; vendor-reported savings should be validated	Not designed to meet Databricks job SLAs and may not account for reservation/commitment pricing impacts