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Spring Cloud Data Flow VS Striim

Compare Spring Cloud Data Flow VS Striim and see what are their differences

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

Spring Cloud Data Flow logo Spring Cloud Data Flow

Spring Cloud Data Flow is a platform capable of stream and batch data pipelines having the tools to create delicate topologies.

Striim logo Striim

Striim provides an end-to-end, real-time data integration and streaming analytics platform.
  • Spring Cloud Data Flow Landing page
    Landing page //
    2023-07-30
  • Striim Landing page
    Landing page //
    2023-10-20

Spring Cloud Data Flow features and specs

No features have been listed yet.

Striim features and specs

  • Real-time Data Integration
    Striim provides real-time data integration which allows users to ingest, process, and analyze data in real-time, offering timely insights for decision-making.
  • Wide Range of Connectors
    The platform supports a broad array of connectors for various data sources, including databases, cloud applications, and IoT devices, enabling seamless integration across different environments.
  • Scalability
    Striim’s architecture is designed to be highly scalable, allowing businesses to handle growing volumes of data without compromising on performance.
  • Low-latency Processing
    Striim enables low-latency data processing, ensuring that data is processed and available for analysis quickly, which is essential for time-sensitive applications.
  • User-friendly Interface
    The platform offers an intuitive, user-friendly interface that simplifies data flow creation and monitoring for users who may not have extensive technical expertise.

Possible disadvantages of Striim

  • Cost
    Striim could be expensive, especially for smaller organizations or startups with limited budgets, due to licensing and infrastructure costs.
  • Complexity
    The platform can be complex to set up and configure correctly, requiring technical expertise to fully leverage its capabilities.
  • Learning Curve
    New users might experience a steep learning curve due to the comprehensive feature set and sophisticated functionalities offered by Striim.
  • Dependence on Internet Connectivity
    While cloud-based, reliance on a stable internet connection can be a drawback for organizations with inconsistent network stability.

Spring Cloud Data Flow videos

+ Add

Orchestrate All the Things! with Spring Cloud Data Flow - Eric Bottard & Ilayaperumal Gopinathan

More videos:

  • Review - Demo: Partitioning Batch jobs with Spring Cloud Data Flow & Task
  • Demo - 3 min demo: Spring Cloud Data Flow Metrics

Striim videos

+ Add

Striim On Premise to Azure Integration Step 1

More videos:

  • Review - Tech review: AwoX Striim LED Light Bulb
  • Review - Striim On Premise to Azure Integration Step 2

Category Popularity

0-100% (relative to Spring Cloud Data Flow and Striim)

Spring Cloud Data Flow

Striim

Big Data
100 100%
Big Data
0% 0
Development
0 0%
Development
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Backup & Sync
0 0%
Backup & Sync
100% 100

User comments

Share your experience with using Spring Cloud Data Flow and Striim. 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 Spring Cloud Data Flow and Striim

Spring Cloud Data Flow Reviews

We have no reviews of Spring Cloud Data Flow yet.
Be the first one to post

Striim Reviews

Best ETL Tools: A Curated List
Striim is great for tasks that need complex stream processing and replication. It is well-known for its CDC features and strong support for Oracle databases. Striim competes with tools like Debezium and Estuary, especially in scalability. It is a top choice for environments that need both real-time and batch data processing.
Source: estuary.dev
Top 11 Fivetran Alternatives for 2024
Striim starts with Striim Developer, a free option of 10 million events per month with community support. Then it’s starting at $1,000 per month for deploying to BigQuery, Databricks, or Snowflake in real-time, or $2,000 per month for broader connector support. You also pay $0.75 (or $0.60) per virtual CPU-hour, and $10.10 per GB in or out. Mission Critical, which sounds...
Source: estuary.dev
Top 14 ETL Tools for 2023
Striim offers a real-time data integration platform for big data workloads. Users can integrate a wide variety of data sources and targets — including Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, and Hadoop — in various file formats. Striim is compliant with data privacy regulations such as GDPR and HIPAA, and users can define pre-load transformations using SQL or Java.
Source: www.integrate.io
Top 7 ETL Tools for 2021
Striim offers a real-time data integration platform for big data workloads. Users can integrate a wide variety of data sources and targets in roughly 20 different file formats, including Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, and Hadoop. Striim is compliant with data privacy regulations such as GDPR and HIPAA, and users can define pre-load transformations using SQL...
Source: www.xplenty.com
The 28 Best Data Integration Tools and Software for 2020
Description: Striim offers a real-time data integration solution that enables continuous query processing and streaming analytics. Striim integrates data from a wide variety of sources, including transaction/change data, events, log files, application and IoT sensor, and real-time correlation across multiple streams. The platform features pre-built data pipelines,...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, Spring Cloud Data Flow seems to be more popular. It has been mentiond 1 time 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.

Spring Cloud Data Flow mentions (1)

  • Dataflow, a self-hosted Observable Notebook Editor
    And a Cloudera project: https://www.cloudera.com/products/cdf.html And an Azure feature: https://docs.microsoft.com/en-us/azure/data-factory/control-flow-execute-data-flow-activity And a Spring feature: https://spring.io/projects/spring-cloud-dataflow. - Source: Hacker News / about 4 years ago

Striim mentions (0)

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

What are some alternatives?

When comparing Spring Cloud Data Flow and Striim, you can also consider the following products

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

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

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

Bryteflow Data Replication and Integration - Bryteflow is a popular platform that offers many services, including data replication and integration.

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

alooma - alooma brings together a reliable data pipeline, an easy data transformation interface, and a powerful stream processor.

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