Software Alternatives, Accelerators & Startups
Register | Login

Striim VS Apache Sqoop

Compare Striim VS Apache Sqoop and see what are their differences

VisualVisitor
Consent-Based Identification of the Person Visiting Your Website Including First Name, Last Name, Email & 37 Other Data Points. Identify and Influence Your Engaged Website Visitors into Sales-Ready Leads – Before You Commit a Single Working Hour. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Striim logo Striim

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

Apache Sqoop logo Apache Sqoop

Sqoop is a command-line interface application for transferring data between relational databases and Hadoop.
  • Striim Landing page
    Landing page //
    2023-10-20
  • Apache Sqoop Landing page
    Landing page //
    2021-10-21

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.

Apache Sqoop features and specs

  • Efficient Data Transfer
    Apache Sqoop is specifically designed to facilitate the efficient transfer of bulk data between Hadoop and relational databases, leveraging parallel processing to enhance performance.
  • Seamless Integration with Hadoop Ecosystem
    Sqoop integrates seamlessly with the Hadoop ecosystem, including HDFS, Hive, and HBase, enabling users to load data directly into these systems for further processing and analysis.
  • Support for Multiple Databases
    It supports a wide range of relational databases, such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server, providing flexibility in terms of source data systems.
  • Command Line Interface (CLI)
    Sqoop provides a straightforward CLI that allows users to perform data transfers through simple commands, making it accessible for users familiar with command-line operations.
  • Incremental Load Capabilities
    Sqoop supports incremental data loading, which enables the transfer of only the changed portions of data, thereby optimizing network and processing resources.

Possible disadvantages of Apache Sqoop

  • Limited Performance Tuning Options
    Although efficient for bulk data transfer, Sqoop provides limited options for performance tuning, which can be a drawback for optimizing specific use cases or large-scale data transfers.
  • Dependency on JDBC Drivers
    Sqoop relies on JDBC drivers to connect to relational databases, which can introduce additional setup complexity and potential compatibility issues.
  • Complex Error Handling
    Error handling in Sqoop is not very intuitive, and debugging issues can become complex, particularly for users who are not experienced in working with Hadoop or relational databases.
  • Steep Learning Curve for Beginners
    New users might find the learning curve for Sqoop steep due to its reliance on knowledge of both Hadoop ecosystem tools and relational database concepts.
  • Limited Functionality for Non-Hadoop Tasks
    Sqoop is highly specialized for Hadoop-related data ingestion tasks and does not offer extensive functionality for other types of ETL or data processing tasks outside the Hadoop ecosystem.

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

Apache Sqoop videos

+ Add

Apache Sqoop Tutorial | Sqoop: Import & Export Data From MySQL To HDFS | Hadoop Training | Edureka

More videos:

  • Tutorial - Apache Sqoop Tutorial -Importing and Exporting Data
  • Review - 15 Apache Sqoop - Sqoop Import - Incremental loads

Category Popularity

0-100% (relative to Striim and Apache Sqoop)

Striim

Apache Sqoop

Development
100 100%
Development
0% 0
Data Integration
43 43%
Data Integration
57% 57
Backup & Sync
100 100%
Backup & Sync
0% 0
ETL
0 0%
ETL
100% 100

User comments

Share your experience with using Striim and Apache Sqoop. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Apache Sqoop Reviews

We have no reviews of Apache Sqoop yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Sqoop seems to be more popular. It has been mentiond 2 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.

Striim mentions (0)

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

Apache Sqoop mentions (2)

  • do i need to learn java to write commands in sqoop ?
    I had never heard of Sqoop and looking at its page sqoop.apache.org, it seems to be legacy. Source: almost 3 years ago
  • Jinja2 not formatting my text correctly. Any advice?
    ListItem(name='Apache Sqoop', website='https://sqoop.apache.org/', category='Data Transfer Tools', short_description='Sqoop is a command-line interface application for transferring data between relational databases and Hadoop. The Apache Sqoop project was retired in June 2021 and moved to the Apache Attic.'),. Source: over 3 years ago

What are some alternatives?

When comparing Striim and Apache Sqoop, 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.

Talend Big Data Platform - Talend Big Data Platform is a data integration and data quality platform built on Spark for cloud and on-premises.

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

Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data.

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

Azure Data Factory - Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.

Loading...