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Spark Streaming VS Databox

Compare Spark Streaming VS Databox and see what are their differences

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Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Databox logo Databox

Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.
  • Spark Streaming Landing page
    Landing page //
    2022-01-10
  • Databox Landing page
    Landing page //
    2022-01-21

Databox pulls all your data into one place, so you can track performance and discover insights in real-time.

Spark Streaming videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Databox videos

+ Add

Databox - Business Analytics Platform & KPI Dashboards

More videos:

  • Review - Save Hours on Marketing Reports, Use Databox | My Favourite Tools #4
  • Review - Databox Review: Automated Client Reporting for Agencies — #AgencyToolbox

Category Popularity

0-100% (relative to Spark Streaming and Databox)

Spark Streaming

Databox

Stream Processing
100 100%
Stream Processing
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Management
100 100%
Data Management
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

User comments

Share your experience with using Spark Streaming and Databox. 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 Spark Streaming and Databox

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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Databox Reviews

8 Databox Alternatives: Which One Is The Best?
If you are unsatisfied with the features or pricing models of Databox, you can check the platforms I have listed below. Even though you are not sure or confused about the options, you should not decide before examining all the pros and cons of the listed tools. However, if you are still not satisfied with the listed options, HockeyStack will help you get informed about...
Source: hockeystack.com
27 dashboards you can easily display on your office screen with Airtame 2
Databox has a clever drag-and-drop editor that makes data visualization a breeze. It has a ton of integration options so you can connect all data sources, no matter where you want your information to come from.
Source: airtame.com
5+ Cheap Alternatives & Competitors Of ChartMogul
Databox is famous among all the businesses as it provides analytics of almost all the business sectors, payment analytics being one of them. Another fascinating feature that makes Databox a cheap alternative to ChartMogul is the availability of multiple dashboards which can be customized using a drag-and-drop editor.
Source: www.inkthemes.com
5+ Cheapest PayPal Payment Metrics Services
Databox is a leading payment analytic software provider which gives you all the business KPIs at one place, the system also provide the PayPal analytics software which can be used to monitor your balance, sales, fees, refunds and much more. You can also know what are the top products and services that are purchased by your customers.
Source: www.pabbly.com

Social recommendations and mentions

Based on our record, Databox should be more popular than Spark Streaming. It has been mentiond 6 times since March 2021. 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.

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

Databox mentions (6)

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What are some alternatives?

When comparing Spark Streaming and Databox, you can also consider the following products

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Grow - Grow is a business intelligence software that empowers businesses to become data-driven and...

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Klipfolio - Klipfolio is an online dashboard platform for building powerful real-time business dashboards for your team or your clients.

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