TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Spark

    Score8.8 out of 10
    N/AApache Spark is an open-source, distributed cluster-computing framework designed for large-scale data processing, batch transformations, real-time Streaming Analytics, and machine learning workloads. The platform executes distributed memory-centric computations across heterogeneous storage layers using unified APIs in Python, Scala, Java, SQL, and R.N/A

    Skyvia

    Score10 out of 10
    Mid-Size Companies (51-1,000 employees)
    Skyvia is a no-code cloud data integration platform for ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, and real-time connectivity. Benefits of Using Skyvia: • Cost efficiency: With flexible pricing plans for each product, Skyvia suites for businesses of any size. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business…

    $99

    per month

    Pricing
    Apache SparkSkyvia
    Editions & Modules
    No answers on this topic
    Basic
    $99
    per month
    Standard
    $199
    per month
    Professional
    $249
    per month
    Offerings
    Pricing Offerings
    Apache SparkSkyvia
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—20% discount for annual pricing.
    More Pricing Information
    Features
    Apache SparkSkyvia
    Data Source Connection
    Comparison of Data Source Connection features of Apache Spark and Skyvia
    Feature
    Apache Spark
    -
    Ratings
    Skyvia
    9.8
    31 Ratings
    16% above category average
    Connect to traditional data sources00 Ratings9.832 Ratings
    Data Transformations
    Comparison of Data Transformations features of Apache Spark and Skyvia
    Feature
    Apache Spark
    -
    Ratings
    Skyvia
    9.1
    27 Ratings
    11% above category average
    Simple transformations00 Ratings9.127 Ratings
    Data Modeling
    Comparison of Data Modeling features of Apache Spark and Skyvia
    Feature
    Apache Spark
    -
    Ratings
    Skyvia
    9.3
    26 Ratings
    16% above category average
    Data model creation00 Ratings8.722 Ratings
    Business rules and workflow00 Ratings9.922 Ratings
    Best Alternatives
    Apache SparkSkyvia
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    No answers on this topic
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache SparkSkyvia
    Likelihood to Recommend
    9.0
    (24 ratings)
    10.0
    (34 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    9.1
    (1 ratings)
    Usability
    8.0
    (4 ratings)
    9.7
    (15 ratings)
    Support Rating
    8.7
    (4 ratings)
    10.0
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.1
    (1 ratings)
    User Testimonials
    Apache SparkSkyvia
    Likelihood to Recommend
    Apache
    Well suited: To most of the local run of datasets and non-prod systems - scalability is not a problem at all. Including data from multiple types of data sources is an added advantage. MLlib is a decently nice built-in library that can be used for most of the ML tasks. Less appropriate: We had to work on a RecSys where the music dataset that we used was around 300+Gb in size. We faced memory-based issues. Few times we also got memory errors. Also the MLlib library does not have support for advanced analytics and deep-learning frameworks support. Understanding the internals of the working of Apache Spark for beginners is highly not possible.
    Incentivized
    Read full review
    Devart
    Skyvia is easy to use and set up automated backups. It was one of several tools that we vetted for this purpose – and had the most favorable pricing and integrations to suit our needs. We wanted to have multiple CRM instances backed up daily and allow non-technical team members to manage this, as well as restore them in times of need. Skyvia has allowed us to do this with ease.
    Incentivized
    Read full review
    Pros
    Apache
    • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
    • Faster in execution times compare to Hadoop and PIG Latin
    • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
    • Interoperability between SQL and Scala / Python style of munging data
    Incentivized
    Read full review
    Devart
    • Skyvia is good at scheduled bidirectional data integration to/from multiple sources
    • The mapping is done automatically which saves a lot of time
    • I like that all connectors are included in the price, so I don't have to pay for using some new ones additionally
    Incentivized
    Read full review
    Cons
    Apache
    • Memory management. Very weak on that.
    • PySpark not as robust as scala with spark.
    • spark master HA is needed. Not as HA as it should be.
    • Locality should not be a necessity, but does help improvement. But would prefer no locality
    Incentivized
    Read full review
    Devart
    • If there's something they can improve could be cheaper prices for LaTam
    • They can market their services in a larger scale, globally.
    • They can market their services in a larger scale, globally.
    Read full review
    Likelihood to Renew
    Apache
    Capacity of computing data in cluster and fast speed.
    Read full review
    Devart
    Reliable, very simple to use, and a range of subscription tiers to suit different needs.

    Cons:
    Incentivized
    Read full review
    Usability
    Apache
    If the team looking to use Apache Spark is not used to debug and tweak settings for jobs to ensure maximum optimizations, it can be frustrating. However, the documentation and the support of the community on the internet can help resolve most issues. Moreover, it is highly configurable and it integrates with different tools (eg: it can be used by dbt core), which increase the scenarios where it can be used
    Incentivized
    Read full review
    Devart
    Loved using Skyvia for our projects, it saved time, allowed us to reach the desired outcome quickly and was easy to maintain. When we first used it we weren't sure we would be able achieve the outcome desired but during the trial it was quickly obvious we would be able to achieve what we needed for data connection and reporting.
    Read full review
    Support Rating
    Apache
    1. It integrates very well with scala or python. 2. It's very easy to understand SQL interoperability. 3. Apache is way faster than the other competitive technologies. 4. The support from the Apache community is very huge for Spark. 5. Execution times are faster as compared to others. 6. There are a large number of forums available for Apache Spark. 7. The code availability for Apache Spark is simpler and easy to gain access to. 8. Many organizations use Apache Spark, so many solutions are available for existing applications.
    Read full review
    Devart
    I think guys have a really good support team, and even from different time zones we managed to get worthy support.
    Read full review
    Implementation Rating
    Apache
    No answers on this topic
    Devart
    Simple to setup and maintain
    Incentivized
    Read full review
    Alternatives Considered
    Apache
    Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
    Incentivized
    Read full review
    Devart
    Compared to similar user-friendly data integration systems like Integrate.io, Stitch, or Azure, Skyvia still wins in the number of connectors and pricing policy. Skyvia is a tool for companies like ours, starving for simple but, at the same time, robust and cost-effective data transfer solutions. It doesn't require additional knowledge for implementation and usage because it's no code. We'd recommend Skyvia as the best solution for non-technical staff.
    Incentivized
    Read full review
    Return on Investment
    Apache
    • Business leaders are able to take data driven decisions
    • Business users are able access to data in near real time now . Before using spark, they had to wait for at least 24 hours for data to be available
    • Business is able come up with new product ideas
    Incentivized
    Read full review
    Devart
    • The core of our business lies in analyzing data from various sources, and while ETL itself is not our primary focus, it is a necessary process to achieve our goals. Thanks to Skyvia, we are able to streamline the ETL process at a reasonable price, allowing us to dedicate our efforts to data analysis without the burden of ETL complexities.
    Incentivized
    Read full review
    ScreenShots

    Skyvia Screenshots

    Screenshot of ExportScreenshot of QueryScreenshot of Backup ScheduleScreenshot of Integration