List of ScyllaDB Customers
Sunnyvale, 94087, CA,
United States
Since 2010, our global team of researchers has been studying ScyllaDB customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased ScyllaDB for Database Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using ScyllaDB for Database Management include: Comcast, a United States based Communications organisation with 182000 employees and revenues of $123.73 billion, Grab, a Singapore based Professional Services organisation with 11267 employees and revenues of $2.80 billion, Discord, a United States based Professional Services organisation with 750 employees and revenues of $428.0 million and many others.
Contact us if you need a completed and verified list of companies using ScyllaDB, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The ScyllaDB customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Comcast | Communications | 182000 | $123.7B | United States | ScyllaDB | ScyllaDB | Database Management | 2019 | n/a |
In 2019, Comcast implemented ScyllaDB for parts of its X1 Scheduler platform as a targeted Database Management initiative. The effort sought to simplify the Xfinity X1 customer experience stack and address long tail latency by migrating key scheduling workloads from Apache Cassandra to ScyllaDB.
The deployment consolidated the scheduler data layer into a much smaller ScyllaDB cluster, reducing node counts from approximately 962 Cassandra nodes to about 78 ScyllaDB nodes, an order of magnitude reduction in operational footprint. Configuration and operational focus aligned with Database Management practices for backend scheduling workloads, emphasizing cluster consolidation, replication configuration, and a phased migration of scheduler partitions to ScyllaDB.
Integration work was executed at the X1 Scheduler application layer and within the broader Xfinity X1 customer experience stack, maintaining backend scheduling and session orchestration against the new data store. Operational scope covered backend platform and service teams responsible for scheduler operations and customer experience delivery, with the migration scoped to scheduler workloads rather than a full platform replacement.
The migration produced the documented outcomes of improved long tail latency and significant infrastructure cost savings, and the project was presented at ScyllaDB Summit 2019 and detailed in ScyllaDB posts. Governance emphasized staged cutover and consolidation of node management to the ScyllaDB cluster, reducing operational complexity for Comcast's Database Management of the X1 Scheduler.
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Discord | Professional Services | 750 | $428M | United States | ScyllaDB | ScyllaDB | Database Management | 2020 | n/a |
In 2020, Discord implemented ScyllaDB Enterprise as its Database Management solution to run production workloads that support core product experiences and anti abuse systems. The public announcement on July 22, 2020 positioned ScyllaDB Enterprise as the core storage layer for production traffic and abuse detection pipelines.
The implementation configured ScyllaDB Enterprise to centralize high throughput, low latency storage, with objectives to reduce data footprint, achieve consistent single digit millisecond latencies and lower total cost of ownership while improving operational stability. ScyllaDB Enterprise was provisioned to support both real time product user flows and anti abuse processing, aligning storage and query patterns with operational availability targets.
Operational scope focused on production workloads across Discord's core product stack and anti abuse tooling, moving critical read and write paths onto ScyllaDB. The deployment emphasizes a distributed, highly available database architecture consistent with Database Management capabilities, supporting low latency key value access and high concurrency.
Governance and rollout were organized as an enterprise production migration, with engineering teams owning cutover sequencing and operational runbooks to sustain stability during the transition. The ScyllaDB implementation consolidates core storage responsibilities into ScyllaDB Enterprise and explicitly targeted reduced data footprint, consistent low single digit millisecond latencies and lower total cost of ownership as stated objectives.
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Grab | Professional Services | 11267 | $2.8B | Singapore | ScyllaDB | ScyllaDB | Database Management | 2018 | n/a |
In 2018, Grab implemented ScyllaDB as a persistent, low latency NoSQL store for real time counters, fraud detection, segmentation and time series stream processing across Southeast Asia. The deployment was designed to support real time trust and safety workflows and high write throughput.
Engineers documented use of ScyllaDB Enterprise and ScyllaDB Cloud patterns to configure a five node AWS cluster that handled peaks of tens of thousands of ops per second, reducing latency and lowering operational overhead for these workflows. Functional capabilities emphasized include persistent counter tables, time series streams, segmentation indices and real time fraud detection pipelines, aligned with Database Management operational needs.
The implementation positioned ScyllaDB as the core Database Management platform for Grab's real time data plane, integrating with stream processing and detection pipelines described by Grab engineers. Operational scope covered fraud detection and trust and safety teams across the Southeast Asia region and supported cross functional analytics for segmentation and monitoring.
Governance followed engineering documented patterns for ScyllaDB operations and cluster sizing, enabling centralized runbook driven operations and reduced manual intervention. The ScyllaDB deployment and documented patterns scaled to high throughput and improved latency characteristics for the identified business functions.
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Buyer Intent: Companies Evaluating ScyllaDB
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Discover Software Buyers actively Evaluating Enterprise Applications
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