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  5. Azure Synapse vs Extralt

Azure Synapse vs Extralt

OverviewComparisonAlternatives

Overview

Azure Synapse
Azure Synapse
Stacks105
Followers230
Votes10
Extralt
Extralt
Stacks0
Followers1
Votes1

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Detailed Comparison

Azure Synapse
Azure Synapse
Extralt
Extralt

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.

The market intelligence layer for ecommerce. Structured product data from any site, no code required. Built for price monitoring and competitive analysis.

Complete T-SQL based analytics – Generally Available; Deeply integrated Apache Spark; Hybrid data integration; Unified user experience
_Best price discovery across sellers, _Product recommendations and alternatives, _Complement suggestions for bundles, _Track pricing across the web, _Detect unauthorized sellers
Statistics
Stacks
105
Stacks
0
Followers
230
Followers
1
Votes
10
Votes
1
Pros & Cons
Pros
  • 4
    ETL
  • 3
    Security
  • 2
    Serverless
  • 1
    Doesn't support cross database query
Cons
  • 1
    Concurrency
  • 1
    Dictionary Size Limitation - CCI
No community feedback yet

What are some alternatives to Azure Synapse, Extralt?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Google BigQuery

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.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

PrestaShop

PrestaShop

PrestaShop is written in PHP, is highly customizable, supports all the major payment services, is translated in many languages and localized for many countries, and is fully responsive (both front- and back-office).

Amazon Redshift

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.

Magento

Magento

Magento Community Edition is perfect if you’re a developer who wants to build your own solution with flexible eCommerce technology. You can modify the core code and add a wide variety of features and functionality.

Shopify

Shopify

Shopify powers tens of thousands of online retailers including General Electric, Amnesty International, CrossFit, Tesla Motors, Encyclopaedia Britannica, Foo Fighters, GitHub, and more. Our platform allows users to easily and quickly create their own online store without all the technical work involved in developing their own website, or the huge expense of having someone else build it. Shopify lets merchants manage all aspects of their shops: uploading products, changing the design, accepting credit card orders, and viewing their incoming orders and completed transactions.

Qubole

Qubole

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

Presto

Presto

Distributed SQL Query Engine for Big Data

Amazon EMR

Amazon EMR

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

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