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Skyvia VS Apache Spark

Compare Skyvia VS Apache Spark and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Skyvia logo Skyvia

Free cloud data platform for data integration, backup & management

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Skyvia Landing page
    Landing page //
    2023-09-12
  • Apache Spark Landing page
    Landing page //
    2021-12-31

Skyvia videos

+ Add

Skyvia Data integration review 2020 | Best Data integration 2019

More videos:

  • Review - Skyvia Data Integration
  • Review - Jira to Google BigQuery Data Integration with Skyvia - Build vs Buy

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Skyvia and Apache Spark)

Skyvia

Apache Spark

Data Integration
100 100%
Data Integration
0% 0
Databases
0 0%
Databases
100% 100
Web Service Automation
100 100%
Web Service Automation
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Skyvia and Apache Spark. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Skyvia and Apache Spark

Skyvia Reviews

Top 8 Apache Airflow Alternatives in 2024
Skyvia offers the ETL, ELT, and Reverse ETL functionality for any data integration process. Set up source and destination data platforms or apps for indicating the data path. Then, determine how data needs to be transformed and mapped. Also, Skyvia allows scheduling data integration processes so that new or updated data is transferred regularly. While simple scenarios are...
Source: blog.skyvia.com
13 data integration tools: a comparative analysis of the top solutions
Skyvia is a user-friendly data integration tool that excels in creating simple relationships and executing straightforward tasks. It's ideal for organizations looking to automate data backups with robust security, thanks to its hosting in the secure Azure data cloud.
Source: blog.n8n.io
15 Best ETL Tools in 2022 (A Complete Updated List)
Skyvia is a cloud data platform for no-coding data integration, backup, management and access, developed by Devart. Devart company is a well-known and trusted provider of data access solutions, database tools, development tools, and other software products with over 40 000 grateful customers in two R&D departments.
Source: www.softwaretestinghelp.com
Best iPaaS Softwares
Skyvia is a universal SaaS (Software as a Service) data platform for quick and easy solving a wide set of data-related tasks with no coding: data integration, automating workflows, cloud data backup, building reports and dashboards, data management with SQL, CSV import/export, creating OData services, etc. It supports a number of cloud applications and databases, and...
Source: iotbyhvm.ooo
Top 7 ETL Tools for 2021
Skyvia is a cloud platform for big data integration, migration, and backup. Users can build data pipelines to data warehouses including Redshift, BigQuery, and Azure. Perhaps the biggest selling point of Skyvia is the tool’s no-code data integration wizard, making it accessible for both new and seasoned ETL practitioners.
Source: www.xplenty.com

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than Skyvia. While we know about 56 links to Apache Spark, we've tracked only 2 mentions of Skyvia. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Skyvia mentions (2)

  • Drop Salesforce Report into SFTP folder
    You can try https://skyvia.com/, they seem to have a free product to do this, but it's pretty limited in the free version. Dataloader.io also can do this, but it's $300 a month to unlock SFTP exports. Source: over 2 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Skyvia.com — Cloud Data Platform, offers free tier and all plans are completely free while in beta. - Source: dev.to / almost 3 years ago

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 3 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 4 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

When comparing Skyvia and Apache Spark, you can also consider the following products

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

AWS Glue - Fully managed extract, transform, and load (ETL) service

Hadoop - Open-source software for reliable, scalable, distributed computing

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