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ScyllaDB Reviews

Vendor: ScyllaDB
3.9 out of 5

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ScyllaDB mindshare

As of April 2026, the mindshare of ScyllaDB in the NoSQL Databases category stands at 7.0%, down from 10.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
ScyllaDB7.0%
MongoDB Enterprise Advanced13.4%
Redis8.7%
Other70.9%
NoSQL Databases

PeerResearch reports based on ScyllaDB reviews

TypeTitleDate
CategoryNoSQL DatabasesApr 13, 2026Download
ProductReviews, tips, and advice from real usersApr 13, 2026Download
ComparisonScyllaDB vs MongoDB Enterprise AdvancedApr 13, 2026Download
ComparisonScyllaDB vs Microsoft Azure Cosmos DBApr 13, 2026Download
ComparisonScyllaDB vs Couchbase EnterpriseApr 13, 2026Download
Suggested products
TitleRatingMindshareRecommending
Redis4.48.7%100%26 interviewsAdd to research
MongoDB Enterprise Advanced4.113.4%92%82 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise6
By reviewers
By visitors reading reviews
Company SizeCount
Small Business65
Midsize Enterprise29
Large Enterprise109
By visitors reading reviews

Top industries

By visitors reading reviews
Outsourcing Company
12%
Financial Services Firm
10%
Comms Service Provider
9%
Computer Software Company
7%
Manufacturing Company
5%
Energy/Utilities Company
4%
Marketing Services Firm
4%
Educational Organization
4%
Legal Firm
4%
Recreational Facilities/Services Company
4%
University
4%
Hospitality Company
4%
Media Company
3%
Government
3%
Retailer
3%
Construction Company
3%
Aerospace/Defense Firm
3%
Performing Arts
2%
Non Profit
2%
Transportation Company
2%
Wholesaler/Distributor
1%
Consumer Goods Company
1%
Real Estate/Law Firm
1%

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ScyllaDB customers

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ScyllaDB Reviews Summary
Author infoRatingReview Summary
Director of Engineering at Ola4.0We use ScyllaDB for massive data, finding its performance and scalability good and reliable. However, it failed to deliver on promised ROI and compaction. Support and ticketing need improvement, and enterprise costs are high without clear benefits.
Senior Database Administrator at Interswitch4.0I chose ScyllaDB for its exceptional speed and scalability with heavy read/write workloads, despite needing custom queries for some commands. While stable, I emphasize that new users require support due to limited open-source resources and information.
Lead Network Engineer at First Orion4.0I value ScyllaDB for its data synchronization, failover, and scalability, despite facing integration and free-version stability issues. Its performance and support are strong, and I recommend this powerful distributed database.
Senior Software Engineer at Extramarks Education India3.5I migrated to ScyllaDB from MongoDB for its security, fast updates, and CDC. Despite slightly slower large-scale performance and poor documentation for new users, I found it a valuable, safer alternative with good support, making it worthwhile.
Software Analyst at CLSA2.5I found ScyllaDB fast and distributed for large-scale use. However, its complex, expensive setup and high operational burden made me prefer simpler, cheaper options like ClickHouse, recommending ScyllaDB only for existing Cassandra users.
Observability Lead at Tubi5.0I use ScyllaDB for ad data management, finding its efficiency, reliability, and scalability excellent. Setup was straightforward. While occasional performance issues arise, the support team is responsive and resolves them, making it a valuable tool.
Staff DBRE at SecurityScorecard3.5I use ScyllaDB for heavy data ingestion due to its speed and high volume handling. While excellent for low latency, its deletion process needs improvement, and a query-first data modeling approach is vital for optimal performance.
Enterprise Account Manager at Frameworks4.5I use ScyllaDB for real-time dashboards and find it very easy, fast, and stable for time series data. Setup was straightforward, and its scalability is great. I rate it 9/10.