SlicingDice Documentation

SlicingDice - The All-in-One Solution Documentation

Welcome to the SlicingDice documentation. You'll find comprehensive guides and documentation to help you start working with SlicingDice as quickly as possible, as well as support if you get stuck. Let's jump right in!

Get Started    Guides

What is SlicingDice

First time checking our docs? You might want to start with the right foot by reading our Documentation Guide first.

In terms of Product / Service

SlicingDice is a Full-Service Data Warehouse and Analytical Database as a Service.

SlicingDice can be described as a full-service data platform because it includes a specialized database optimized for analytics and provides all necessary tools to integrate and analyze your data, at no extra cost and concerns about daily infrastructure.

SlicingDice can handle any dataset size (like few million rows), but it really shines on very large datasets (like billions of rows) and complex queries, where normal SQL or NoSQL databases would fail or make your life much harder.

In terms of Features

The main features are:

  • It's a serverless platfrom. No server administration, tuning or monitoring needed.
  • It's full-service. We provide a built-in ETL and user-friendly BI tools at no extra cost.
  • It's totally reliable. We have three independent datacenters fully replicated.
  • It's (almost) schemaless. You don't need to think much about data modeling.
  • It's very easy and flexible. We have SQL-92 support, JDBC/ODBC drivers and a powerful API for developers.
  • It's unbelievably fast. We have SLAs for inserting (stream or batch) and querying (real-time or historical) data.
  • It's the cheapest option. We built our own technology from the ground up, heavily focused on data compression.

You can understand better the main SlicingDice's features and its performance compared to our competitors while reading this documentation.

In terms of Price

We give you the flexibility to select between two different pricing models, pay-per-gigabyte stored or pay-per-column used on your database (no matter how many rows you store).

You decide if you want to pay based on the storage space it takes to store your data on SlicingDice (pay-per-gigabyte), or if you want to pay based on how many columns you have on your database, having free and unlimited data storage (pay-per-column).

Due to the database compression technology we created, SlicingDice is the cheapest solution on the market, as you can confirm by checking our competitor's price comparison page.

To fully understand what you pay to use SlicingDice, check our SlicingDice Pricing Models section.

In terms of supported Use cases

SlicingDice can support almost all necessities that are expected for a mature analytical database.

In terms of Competitors

Considering all companies that migrated from other solutions to SlicingDice, we can comfortably attest that SlicingDice is an incredible and consistent alternative to:

  • Amazon Redshift
  • Google BigQuery
  • Snowflake
  • Splunk
  • ElasticSearch (analytics related, not full-text search)
  • KeenIO
  • Streamlio
  • Druid
  • InfluxDB
  • TimescaleDB
  • Prometheus
  • Pinot
  • ClickHouse
  • Pilosa

Check this video from SlicingDice's CEO describing how and why we are completely different from these companies above.