DATASHEETInsights Data Storage
Highly scalable application andnetwork intelligence storage
KEY BENEFITS•

Designed for storing Sandvine’s unique
network and application QoE
intelligence in large-scale deployments•High availability options to ensure theappropriate level of mission-critical
redundancy, ranging from a single node
up to multi-node clusters•

Advanced reporting and analytics withparallelized query execution for timely
business decisions•Flexible API integration for enrichingexisting data lakes and big data systems

Insights Data Storage is the highly scalable data storage component of Sandvine’s
Insights Portfolio. Insights Data Storage provides long-term data storage for Sandvine’s
unique network and application intelligence, including and quality of experience (QoE)
metrics, and enables rapid data visualization as well as extensive data exploration.
Insights Data Storage is designed for large-scale, carrier-class networks, where it can beused in conjunction with big data systems or where it fulfils the role of Sandvine’s contextual
network intelligence data lake. It uses a columnar database designed for exploratory analytics
use cases, providing storage and retrieval of large volumes of granular information withsegmentation and complex data structures (e.g., per-subscriber, per-location, and perprotocol reporting).
Insights Data Storage includes several capabilities specifically designed to simplify
interoperability with existing big data solutions deployed by network operators. Sandvine’s
network and application intelligence, foundational to all use cases, is organized in a fixed
schema, supplying easy-to-use data for a network operator’s analytics requirements withenrichment for actionable intelligence without complex integration projects.
Sandvine’s Insights Product Family visualizes the Application and Network Intelligence use
cases deployed in telecommunications networks, empowering operators to solve problems
and spot opportunities to attract more subscribers, generate revenue, improve QoE, andreduce CAPEX. Insights Data Storage provides the foundation for managing Sandvine’s
network and application intelligence, allowing network operators to retain the right data,
ensuring a high-quality network experience is delivered.

Figure 1
Typical deployment of Insights Data
Storage using a dedicated network
switch for the Insights Data Storage
cluster, with 10 Gbps physical links
for data ingestion and cluster
communication.

Insights
Data Storage
Cluster

10G10GNetworkSwitchInsights
Data Storage
Network10G

Data Ingestion
Network10G

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Designed for Carrier-Class Network Intelligence Storage
Network operators need the highest levels of performance and availability. Insights Data
Storage delivers both and ensures the right intelligence is available to make the right businessand network decisions.
Clustering
Flexible clustering options optimize performance and high availability by combining many
Insights Data Storage instances together to scale storage to meet carrier-class needs. By
enabling a practically limitless number of nodes to operate as a unit, allowing for RAID-like
striping and massive parallel processing for fast data retrieval, the largest networks in theworld can maintain full network visibility.
High Availability
A built-in failure recovery function ensures Insights Data Storage reliability and continuous
data availability.
Hierarchies
Hierarchies allow operators to segment network reporting from local regions while maintaining
comprehensive site-wide visibility. It also allows operators to optimize different parts of acluster based on scale requirements (e.g., smaller databases for smaller regions, reporting
into a larger database for the entire network).
Simple Fixed Schema
Unique KPI enrichment for context, including per-subscriber, location, application, service
plan, device, and many more options, ensures the intelligence is actionable in near real time.
ODBC Connector for Big Data Connectivity
ODBC access is provided to the underlying data within the Insights database. This interface
can be used by both Sandvine and the operator’s third-party visualization and reporting tools
to create custom reports or perform custom data analysis, depending on the operator’srequirements. Sandvine provides ultimate flexibility for leveraging the value of the underlying
data from the network.
Zero Administration
Self-diagnostics and automated clean-up of the database is supported without the need for
additional tools (e.g., no need for re-indexing or refreshing of data). Additionally, the installation
self-tunes based on available resources and defined roles. Zero downtime is supported since
the database continues to run query requests while rebalancing is in progress (e.g., during
upgrades or when taking down a node for maintenance).
Elastic Data Storage
Insights Data Storage automatically rebalances data when nodes are added, removed,replaced, or repaired, and clones databases from one cluster to another.
Advanced Compression
It replaces slower disk I/O with fast CPU cycles through aggressive compression, reducing thedisk space needed for storage relative to traditional databases and allowing smaller disks to
be used for storage.
Distributed Query Execution
It takes advantage of massive parallel processing for faster query execution and reporting byleveraging all nodes of the Insights Data Storage cluster.
Cloud Transformation
Insights Data Storage can run as a cloud-native function (CNF) orchestrated by Kubernetes.
All product components have been re-architected to be deployed as separate Dockercontainers. To provide address scalability and ensure reliability, the database component isdeployed as a separate containerized service.

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Data Export Options
Big data teams leverage different tools and techniques to generate actionable customer
insights by harnessing and integrating new real-time data sources and types.
With Insights Data Storage, these big data teams can employ data export to create custom
reports that:•

Are highly personalized•

Blend Sandvine data with data pools from other sources•

Correlate network-centric KPIs with other business and operational KPIs•

Allow operators to experiment with different data visualizations

Data export options include:•ODBC access to Insights Data Storage (access to traffic/score and use case-specificschema/tables)•

Processed/statistics data export from Insights Data Storage via Kafka

Figure 2
ANI Automation
EngineData Export Options from Insights Data Storage

Customer BI
Platform

Enhanced stats forAutomation use cases

Third Party Data Source
Enriched with Network
Operator Data

Insights Data
Storage

Big Data
SystemsInsights Data
Access ODBC

Kafka/Flume
Real-time stream of Sandvine traffic,
score stats, and flow records

ABOUT SANDVINE
Sandvine’s cloud-based Application and Network Intelligence portfolio helps customers deliver high quality, optimized experiences to consumers and enterprises. Customers
use our solutions to analyze, optimize, and monetize application experiences using contextual machine learning-based insights and real-time actions. Market-leadingclassification of more than 95% of traffic across mobile and fixed networks by user, application, device, and location creates uniquely rich, real-time data that significantly
enhances interactions between users and applications and drives revenues. For more information visit http://www.sandvine.com or follow Sandvine on Twitter @Sandvine.

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