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Striim VS StreamSets Data Collector

Compare Striim VS StreamSets Data Collector and see what are their differences

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Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. featured
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Contents:
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  3. » Reviews
  4. » Alternatives

Striim logo Striim

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

StreamSets Data Collector logo StreamSets Data Collector

The StreamSets Data Collector (SDC) is used to build, test and execute dataflow pipelines for data lake and multi-cloud data movement plus cybersecurity, IoT and customer 360 applications.
  • Striim Landing page
    Landing page //
    2023-10-20
  • StreamSets Data Collector Landing page
    Landing page //
    2023-10-20

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.

StreamSets Data Collector features and specs

No features have been listed yet.

Striim videos

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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

StreamSets Data Collector videos

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Data Pipeline Preview with StreamSets Data Collector

Category Popularity

0-100% (relative to Striim and StreamSets Data Collector)

Striim

StreamSets Data Collector

Development
100 100%
Development
0% 0
Data Management
0 0%
Data Management
100% 100
Backup & Sync
100 100%
Backup & Sync
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Striim and StreamSets Data Collector

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

StreamSets Data Collector Reviews

We have no reviews of StreamSets Data Collector yet.
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What are some alternatives?

When comparing Striim and StreamSets Data Collector, you can also consider the following products

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.

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

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

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

Oracle Data Integrator - Oracle Data Integrator is a data integration platform that covers batch loads, to trickle-feed integration processes.

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

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