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precisely Connect VS Spark Streaming

Compare precisely Connect VS Spark Streaming and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

precisely Connect logo precisely Connect

See how Connect can help you integrate data seamlessly from legacy systems into next-gen cloud and data platforms with one solution.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • precisely Connect Landing page
    Landing page //
    2022-11-02
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

precisely Connect videos

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Spark Streaming videos

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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

Category Popularity

0-100% (relative to precisely Connect and Spark Streaming)

precisely Connect

Spark Streaming

Data Management
17 17%
Data Management
83% 83
Stream Processing
0 0%
Stream Processing
100% 100
Data Integration
100 100%
Data Integration
0% 0
Data Management Platform (DMP)
100 100%
Data Management Platform (DMP)
0% 0

User comments

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Reviews

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

precisely Connect Reviews

The 28 Best Data Integration Tools and Software for 2020
Description: Syncsort offers its data integration capabilities via two product families, Syncsort Connect and Syncsort Ironstream. The company’s flagship application data integration tools are the Syncsort Connect product family. Syncsort allows users to hasten database queries and applications by putting relational databases to best use. The Intelligent Execution feature...
Source: solutionsreview.com

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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Social recommendations and mentions

Based on our record, Spark Streaming seems to be more popular. It has been mentiond 3 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.

precisely Connect mentions (0)

We have not tracked any mentions of precisely Connect yet. Tracking of precisely Connect recommendations started around Mar 2021.

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 / 3 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

What are some alternatives?

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

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

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

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

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

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

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