DataScale acquired by DataStax

Cloud Providers

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DataScale Managed Services on AWS

Learn more about how DataScale can maximize your efforts on Amazon’s AWS Platform

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DataScale Managed Services on Azure

Learn more about how DataScale can maximize your efforts on Microsoft’s Azure Platform.

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Introducing The DataScale Data Store Service (DSS)

DSS is a fully managed 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 / Log / Sensor / 3rd Party / Mobile / Web

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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  – Including DataScale CQLShell Service
  • 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.  Full 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.

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.