Apache Spark
Apache Spark : Reviews, Pricing, Features & Alternatives
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Apache Spark is a Big Data infrastructure tool. Price : $0. Review Apache Spark : Overview & Pricing
Apache Spark Overview : Features, Pricing, Reviews & Alternatives
Apache Spark is a Big Data infrastructure tool intended for businesses. Let’s discover user reviews, features and prices of this business app.
Apache Spark is listed as a Big Data infrastructure and IT Infrastructure for companies and is used for Business Intelligence and Analytics Data infrastructure Big data infrastructure …
Apache Spark price starts from $ 0 per user and per month .
Apache Spark is an engine for processing big data, with built-in modules for streaming, SQL, machine learning, and graph processing.
Fast, general-purpose engine for large-scale data processing
What is Apache Spark ?
Apache Spark is an open source cluster computing framework. Originally developed at the University of California, AMPLab Berkeley, Spark’s code base was later donated to the Apache Software Foundation, which has maintained it ever since. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Spark is a fast, general-purpose processing engine that supports Hadoop data. It can run on Hadoop clusters via YARN or Spark standalone mode, and can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop input format. It is designed for batch processing (similar to MapReduce) and new workloads such as streaming, interactive queries, and machine learning.
Apache Spark is an engine for processing big data, with built-in modules for streaming, SQL, machine learning, and graph processing.
Ignite Realtime: Spark Instant Messaging Client
Apache Spark is a large-scale data center management software solution that enables users to quickly code and submit requests in Java, Scala, and Python. Users start by loading all of their code into the program. Users can then query as needed, assign tasks, and apply transactions to resilient distributed data sets.
Meanwhile, the system can stream real-time performance analytics as users continue to work on the code. The product comes with a machine learning engine that can further speed up the processing of all requests, and entire applications can run up to 100 times faster than in Hadoop environments. Finally, Apache Spark offers an interactive command line interface for low latency data requests.
What is Apache Spark? Apache Spark is an intuitive, fast, and centralized analytics engine capable of processing large amounts of data. It is an open source project that was first created by a group of developers from more than 300 companies, and so far, many developers continue to invest their time and efforts to improve the project. It is a very fast scanning engine, which makes it the preferred choice for many organizations when it comes to a data processing solution that can handle large data sets. In fact, even during high-volume processing, you can still quickly perform real-time and batch data processing using its directed acyclic graph (DAG) scheduler, physical execution engine, and query optimization tool. Additionally, Apache Spark comes with libraries that can be easily combined into a single application. These libraries include an SQL module that is used to query structured data within the programs that run the system. There is a library designed for building applications that can perform stream data processing, another for machine learning that uses fast, high-quality algorithms, and then an API for performing parallel graph calculations and processing graph data.
Apache Spark Review : Pros & Cons
Pros & Cons
When it comes to finding the right Big Data infrastructure tools to manage your business, you have too many options – and they all come with their strengths and weaknesses.
One such familiar name in this arena is Apache Spark, and as you may have guessed from the title, this review will tell you more about Apache Spark’s pros and cons.
Weighing the pros & cons is essential before selecting this tool for your business and your team.
Apache Spark Pros : Key Benefits
– SaaS platform
– Scalability and integration
– Frequent releases / updates
– High Compatibility
Apache Spark Cons
– Con : Custom integrations can come at a price.
Apache Spark Features
Here is the list of the main features of this computer software :
– SaaS software
Main function & Pro Features
– Cloud Services
Apache Spark Integrations
Apache Spark integrates with more than 37 applications & plugins like Snowflake, Azure Cosmos DB and Jupyter (…) : database connection, synchronize data, share files (…) to improve your workflow and increase your productivity !
It also provides a powerful API toolkit that allows developers to build web services and exchange data.
Top 20 Apache Spark integrations
– Jupyter
– Azure Cosmos DB
– Snowflake
– Couchbase
– Apache Hive
– Databricks
– Apache Zeppelin
– Google Cloud Bigtable
– TimescaleDB
Apache Spark Pricing
The Apache Spark pricing plan starts from $ 0 per month and per user, but this price is likely to change because different options are offered by the developer : number of licenses, additional functions, add-ons, bundles …
Apache Spark offers several pricing plans :
– Free Trial : $ 0,00 per user / per month
– Start : –
– Professional : –
– Enterprise : –
– Premium : –
| Free Trial | Start | Professional | Enterprise | Premium |
| $0,00 | – | – | – | – |
| Per month | Per month | Per month | Per month | Per month |
| Per user | Per user | Per user | Per user | Per user |
Save $$$ on SaaS and on-premise Software Subscriptions to help your create, grow and scale your business : annual billing usually is cheaper than monthly billing and you can expect 10% to 20% discount.
Sign up for a trial and start using it right away !
Free trials usually are time limited or feature limited but this is a good way to ensure it is the right option for your business before making a purchase.
Screenshot of the Vendor Pricing Page :
Software Pricing Plans
Pricing Details
Pricing Model : Subscription
Free trial : No information
Free plan : No information
Freemium : Freemium
Starting price : $ 0,00
Entry-level set up fee : No setup fee
The pricing details were last updated this year from the vendor website or retrieved from publicly accessible pricing materials and may be different from actual. Please confirm pricing and deals with the vendor website before purchasing.
Deployment & Setup
Apache Spark is a cloud-based Big Data infrastructure platform : its infrastructure is hosted in the United States (probably on AWS, Microsoft Azure or Google Cloud Platform).
apache-spark is a SaaS (Software as a Service) / web application : a web browser on a computer is required for full functionality of features and manage dashboard.
It supports desktop operating systems (like Windows and Mac OS …).
Technical Details & Specifications
Deployment : Cloud / SaaS
Desktop Operating Systems : Windows / Mac OS / Linux …
Mobile Platforms : –
Native Apps / Mobile Applications : –
GDPR compliance : No information
Supported languages
This application software supports the following languages : English …
Support & Training
Any problem with this computer program ? The vendor offers the following customer service & support to help teams get the most out of their business application : Online Support …
Hotline : Yes
Training options : …
Industry & Customers
Who use Apache Spark ?
This software package is tailored to business needs : Small and Medium companies, Medium companies (Turnover : – $50 million) in countries like United Kingdom, India …
This web-based application is recommended for trades : IT …
This cloud software is used in the sectors : Software, Information Technology and Services …
Customer References
Testimonials & Customer References to decide if this is the right business software or service for your company : Nasa Jpl, Uc Berkeley Amplab, Amazon, Ebay, Yahoo!, Uc Santa Cruz, Tripadvisor …
Awards & Recognitions
No information .
Screenshots
This computer program has an ergonomic, intuitive and customizable user interface, which will improve team productivity and collaborative work within your company (Non Profit, Public Administration, Shop Manager …)
Apache Spark Screenshots & Images : UI, dashboard …
Apache Spark Business Software Pricing
Apache Spark Features & Overview
Apache Spark Screenshot
Apache Spark Screenshot
Videos
Video #1
Video #2
Apache Spark Reviews
Here is our opinion on Apache Spark : this is a very popular big data infrastructure tool to recommend .
Apache Spark User Reviews & Ratings
Online and customer reviews of Apache Spark software are quite plentiful and overall very positive :
Overall rating : 4,4/5
Value for money : 4,4/5
Functionality : 4,4/5
Usefulness : 4,4/5
Ease of use : 4,4/5
User rating Excellent : 10%
User rating Very Good : 90%
User rating Average : 0%
User rating Poor : 0%
User rating Terrible : 0%
The main advantages of Apache Spark are its generality functionality, SQL module used to query structured data, uniform data access mode for multiple sources, faster processing of data stream, high quality machine learning algorithms and easy analysis and calculation of graphs.
Popularity on social networks :
Your Customer Review on Apache Spark
What is your opinion about this app ? Submit your review and tell us about your overall opinion : experience with this SaaS software, rating, ease of use, customer service, value for money, Pros & Cons …
Customer reviews and feedbacks play an increasingly important role in the business software buying process. You can provide in-depth review and share your buying advice / reviewer sentiment : what is your likelihood to recommend Apache Spark ? What is your likelihood to renew ?
FAQs
Why use a Big Data infrastructure tool ?
A Big Data infrastructure makes it possible to collect, store, analyze and visualize data.
According to various sources, most used business software are : Treasure Data (market share : 6,30%), Apache Spark (3,00%), Cloudera (2,30%), Sumo Logic (1,90%), MapR (1,80%)
Main functions are : 24/7 accessibility, Import – Export data, Data Quality Services, Data Security Features, Monitoring Console, Data visualization
Main characteristics are : Btob, Platform, Big Data, Solution, Apache, Hadoop, enterprise, Btob, Platform, Big Data, Solution, Apache, Hadoop, enterprise, Cloudera Events, Big Data, Cloudera Events, Data Quality Services, Monitoring Console, education, Support, Application, Big Data, Bigdata, Career, Digital, ed Tech, edtech, TravelTech, Tourism
Big Data infrastructure Average Price : from $ 108,00 to $ 180,00 with an average price of $ 144,00 . We have identified more than 33 competitors on the market.
Big Data infrastructure Review
Company details
Developed by APACHE, Inc. (@sorensonmedia on Twitter)
HQ location : USA
Founded :
Total revenue :
Industry : B2B SaaS company
Software Category : IT Management & Big Data Software > IT Infrastructure > Big Data infrastructure (Open Source software)
Schema : SoftwareApplication > DeveloperApplication
Tags : group discussion | printer client | jabber | spell checker | tabbed interface | xmpp | chat customers | conversations | expandable | expandable by plugins …
Website : visit spark.apache.org
About This Article
This page was composed and published by SaaS-Alternatives.
The information (and product details) outlined above is provided for informational purposes only. Please Check the vendor’s website for more detailed information.
Our opinion on Apache Spark is independent in order to highlight the strengths and weaknesses of this Big Data infrastructure tool. Our website is supported by our users. We sometimes earn affiliate commission when you click through the affiliate links on our website.
Apache Spark Alternatives
If you’re understanding the drawbacks and you’re looking for a Apache Spark alternative, there are more than 17 competitors listed on SaaS-Alternatives !
If you’re in the market for a new software solution, the best approach is to narrow down your selection and then begin a free trial or request a demo.
Top 10 Alternatives & Competitors to Apache Spark
– Microsoft Azure HDInsight
– Cloudera
– MapR
– Sumo Logic
– Apache Spark
– Amazon EMR
– Treasure Data
– BlueData
– RJMetrics
– Impala
SaaS alternatives
Hadoop : The Apache Hadoop software library is a framework that enables distributed processing of large data sets across groups of computers using simple programming models. It is designed to scale from a single server to thousands of machines, each providing local compute and storage.
Splunk : Provides the leading platform for operational intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Cassandra : Partitioning means that Cassandra can distribute your data across multiple machines as part of a seamless application. Cassandra will automatically repartition as machines are added and removed from the cluster. Row storage means that, like relational databases, Cassandra organizes data by rows and columns. Cassandra Query Language (CQL) is a close relative of SQL.
Apache Beam : Deploy batch and continuous data processing jobs that run at any runtime. Run pipelines on multiple runtimes.
Apache Flume : It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on the transmission of data streams. It is robust and fault tolerant with tunable reliability mechanisms and numerous failover and recovery mechanisms. It uses a simple extensible data model that enables online analytic application.
You can also take a look at other business apps, like our Junk Email Filter review and our Dyn Domain Registration review.
Comparison with Similar Software & Contenders
Take an in-depth look at popular IT Management & Big Data Software and IT Infrastructure to find out which one is right for your needs. Discover how these Big Data infrastructure compare to Apache Spark when it comes to features, ease of use, customer support and user reviews. Explore software, Compare options and alternatives, Read reviews and Find your solution !
