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Introducing The DataScale Data Store Service (DSS)

DSS provides a fully managed, single-tenant cloud NoSQL database service based on Apache Cassandra. Simply create a database, apply your data model, and the service manages the rest.

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ADD DATA

  • App Data
  • Log Data
  • Sensor Data
  • 3rd Party Data
  • Mobile/Web Data

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DATASCALE DATASTORE SERVICE

Deliver consistent, low latency performance at any scale for all applications, in any cloud

Automated provisioning and scaling

Multiple tier data store support – from project conception to production

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QUERY

CQL Tools (Including DataScale
CQLShell tool)

BI Tools

Spark

WHY DATASCALE

time to market

TIME TO MARKET

Production/Enterprise Data
Infrastructure in hours instead
of months.

fully managed platform

FULLY MANAGED PLATFORM

No Hiring
No Lifecycle Management
No Problems

cost savings

COST SAVINGS

Lower Cost Than
Self Managed

CHOOSE THE INSTANCES
TO BEST FIT YOUR WORKLOAD

All of our instance types are currently utilizing local SSDs for the highest I/O performance.

small cluster

Small Instance Cluster

Typical workloads for our small instance clusters include light compute/memory usage for smaller datasets.

Our small instance types are best for:

  • Development Environments
  • Testing Environments
  • Smaller Amounts of Data to Persist to Cassandra

Our small instances types are the smallest specs that are recommended for running a production environment on.

medium sized cluster

Medium Instance Cluster

Typical workloads for our medium instance clusters are for established Cassandra implementations and possibly light Spark usage.

Our medium instance types are best for:

  • Growing companies that have a few terabytes of data to manage in Cassandra
  • Companies expecting rapid growth of their current dataset

Most of our customer base relies on this instance type for their production needs.

large cluster

Large Instance Cluster

Typical workloads for our large instance clusters are for enterprise Cassandra implementations that are heavy reliers on Spark & Cassandra data movement.

Our large instance types are best for:

  • High-growth datasets and high compute/memory usage.
  • Business models dictating a high Replication Factor for your data.
  • Companies needing to keep many, many terabytes locally and accessible at all times.