About DataSet
DataSet is a data analytics platform from SentinelOne that provides visibility across the entire data stack. It combines full-stack log analytics, a data lake, and custom data solutions so organizations can process data at any scale and time horizon. DataSet supports strong performance at a lower cost, making it suitable for various use cases. The platform also acts as an ELK replacement, simplifying data management and analysis. With its centralized solution, users can easily access and analyze their data to gain insights effectively. Key capabilities: full-stack log analytics data lake custom data solutions ELK replacement strong performance Best for: organizations that need comprehensive data analytics and visibility across their systems.
DataSet by SentinelOne is a real-time data analytics and observability platform designed to help organizations ingest, process, and analyze massive volumes of telemetry data. Originally known as Scalyr, the platform was rebranded after being acquired by SentinelOne and positioned as a high-performance, cloud-native observability solution. Its primary goal is to empower engineers, DevOps, security teams, and SREs with the ability to derive insights from streaming data in milliseconds. DataSet stands out for offering low-latency querying, high ingestion throughput, and a highly efficient storage model. It is particularly geared toward security analytics, system monitoring, and application troubleshooting. The user interface of DataSet is streamlined and engineered for rapid query execution and visualization. Upon login, users are greeted with a dashboard that provides access to metrics, logs, and alerts, all displayed in a clean and minimalist layout. The navigation is intuitive, with clear segmentation between data streams, dashboards, alert rules, and user settings. Advanced users can also make use of a powerful query language that resembles SQL, while beginners can leverage guided query-building tools.
Pros & Cons
- Blazing Fast Performance: Rapid query execution on massive datasets.
- Cost-Efficient Scale: Lower cost for petabyte-scale data and long-term retention.
- Unified Data: Consolidates all logs into one central, schema-free platform.
- Real-time Insights: Provides immediate answers from live data.
- Feature Detail Lacking: Specific advanced features and integrations aren't fully detailed.
- Proprietary Platform: Potential for vendor lock-in, typical of SaaS solutions.
Features
Key features
Gathers logs from diverse technologies and sources into a single platform.
Allows instant aggregation, search, and analysis of logs, including "Live Tail" for streaming data.
Designed to handle petabytes of log data quickly and efficiently.
Aims to reduce operational costs, potentially by charging for queries and offering longer retention at a lower price.
Enables quicker identification and resolution of customer-facing issues, reducing mean time to resolution (MTTR).
Provides a unified platform for engineering, infrastructure, and security teams for data-driven decisions.
Additional features
Collects and centralizes log and event data from any source (cloud, on-premises, applications, hosts) in real-time, allowing for instant search and a live streaming view of incoming data.
Engineered to handle petabytes of data with sub-second query performance, even for complex searches, ensuring rapid insights regardless of data volume.
Lowers total cost of ownership by primarily charging for queries and offering affordable long-term data retention, allowing users to keep data longer for less.
Consolidates logs and event data from diverse technologies (hybrid/multi-cloud, Kubernetes, AWS, etc.) into a single source of truth for engineering, IT, DevOps, and security teams.
Enables quicker detection and resolution of issues by providing immediate access to relevant data, reducing mean time to resolution (MTTR).
Offers pre-built integrations and monitors for various AWS services, providing real-time visibility and facilitating accelerated cloud operations.
Designed as a more scalable, cost-effective, and simpler alternative to the ELK (Elasticsearch, Logstash, Kibana) stack, allowing users to retain existing Logstash/Kafka pipelines.
Provides capabilities for in-depth analysis of log data across the entire application and infrastructure stack, from front-end to backend.
Allows users to create contextual alerts and leverage machine learning for instant detection of unusual patterns or critical conditions.
Users can define retention rules and store data for extended periods (months to years) with options for DataSet-hosted or customer-managed S3 storage.
Offers quick setup with pre-built integrations for common data sources and services, simplifying the ingestion process.
Provides simplified monitoring for Kubernetes and managed services (EKS, AKS, GKE, etc.) through easy Helm installation.
Supports best practices by monitoring performance, compliance, and security-related events within a single live data platform.
A flexible platform capable of handling complex, custom data projects, including various data types (historical, event, structured, unstructured).
Simplifies sending, categorizing, labeling, and filtering log data, making it user-friendly for analysis.
Provides complete API support for seamless integration with other tools and workflows (e.g., Grafana, Kibana, Logstash).
Pricing
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About DataSet
DataSet is a data analytics platform from SentinelOne that provides visibility across the entire data stack. It combines full-stack log analytics, a data lake, and custom data solutions so organizations can process data at any scale and time horizon. DataSet supports strong performance at a lower cost, making it suitable for various use cases. The platform also acts as an ELK replacement, simplifying data management and analysis. With its centralized solution, users can easily access and analyze their data to gain insights effectively. Key capabilities: full-stack log analytics data lake custom data solutions ELK replacement strong performance Best for: organizations that need comprehensive data analytics and visibility across their systems.
DataSet Details
DataSet's In-App Market Place
Does DataSet have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CHF (Fr), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩)
Pros & Cons
- Blazing Fast Performance: Rapid query execution on massive datasets.
- Cost-Efficient Scale: Lower cost for petabyte-scale data and long-term retention.
- Unified Data: Consolidates all logs into one central, schema-free platform.
- Real-time Insights: Provides immediate answers from live data.
- Feature Detail Lacking: Specific advanced features and integrations aren't fully detailed.
- Proprietary Platform: Potential for vendor lock-in, typical of SaaS solutions.
DataSet's Support Options
Email Address
dataset-sales@sentinelone.comContact
1-800-555-1234DataSet's Alternatives
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