Altiscale vs Fivetran Comparison | StackShare | StackShare

Altiscale vs Fivetran

Overview

Altiscale

Stacks6

Followers10

Votes28

Fivetran

Stacks116

Followers119

Votes0

Fivetran vs Altiscale: What are the differences?

Developers describe Fivetran as "Simple, reliable data integration for analytics teams". It helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination. On the other hand, Altiscale is detailed as "Hadoop as a Service". we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

Fivetran and Altiscale can be primarily classified as "Big Data as a Service" tools.

Some of the features offered by Fivetran are:

Prebuilt connectors
Ready-to-query schemas
Automated schema migrations

On the other hand, Altiscale provides the following key features:

Hadoop Dialtone
“Infinite” Hadoop
A Proactive Hadoop Helpdesk

Detailed Comparison

Altiscale	Fivetran
we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.	It helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination.
Hadoop Dialtone;“Infinite” Hadoop;A Proactive Hadoop Helpdesk;Predictable, Hadoop-based pricing	Prebuilt connectors; Ready-to-query schemas; Automated schema migrations; Fully managed data; SQL-based transformations
Statistics
Stacks 6	Stacks 116
Followers 10	Followers 119
Votes 28	Votes 0
Pros & Cons
Pros 3 An ops team comes with it, so you're free to analyze 3 SOC2, PCI, HIPAA, Kerberos 3 The easiest, lowest cost, highest performing option 3 Hadoop ops experts run it all for you, don't need ops 3 Our data sci & analysts would scream if went back toEMR	No community feedback yet
Integrations
No integrations available	Amazon DynamoDB AWS Lambda Mailchimp Amazon S3

What are some alternatives to Altiscale, Fivetran?

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Snowflake

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

Stitch

Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Dremio

Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.

Cloudera Enterprise

Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.