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1010Data VS IBM Hybrid data management

Compare 1010Data VS IBM Hybrid data management and see what are their differences

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  3. » Reviews
  4. » Alternatives

1010Data logo 1010Data

1010data provides cloud-based big data analytics for retail, manufacturing, telecom and financial services enterprises.

IBM Hybrid data management logo IBM Hybrid data management

IBM Hybrid data management offers the complete set of AI-enabled solutions that ensures the organizations collect data of any type, source, and structure to make it simple and accessible across multiple vendors, deployments, and workloads.
  • 1010Data Landing page
    Landing page //
    2023-10-04
  • IBM Hybrid data management Landing page
    Landing page //
    2023-05-19

1010Data features and specs

  • Scalability
    1010Data is designed to handle massive datasets, making it suitable for large enterprises that require powerful data processing capabilities.
  • Ease of Use
    The platform offers a user-friendly interface and intuitive data analysis tools, which can ease the learning curve for new users.
  • Integrated Platform
    1010Data provides a unified platform that combines data storage, processing, and analytics, allowing for seamless data management and analysis.
  • Real-Time Analytics
    The platform supports real-time data analysis, enabling businesses to make timely decisions based on the latest data insights.
  • Strong Security Measures
    1010Data implements robust security protocols, ensuring that sensitive data is protected against unauthorized access.
  • Industry-Specific Solutions
    The platform offers tailored solutions for various industries such as retail, finance, and healthcare, helping users meet sector-specific requirements.

Possible disadvantages of 1010Data

  • Cost
    The platform can be expensive for small to medium-sized businesses, potentially putting it out of reach for organizations with limited budgets.
  • Complexity for Advanced Users
    While 1010Data is user-friendly, more advanced users may find the platform's limitations restricting for highly complex or custom analyses.
  • Integration Challenges
    Integrating 1010Data with existing systems and workflows can be complex and might require additional resources and time.
  • Steep Learning Curve for Advanced Features
    Despite the easy-to-use interface, mastering the platform's advanced features may require significant training and expertise.
  • Performance Issues with Extremely Large Datasets
    Although designed for scalability, performance can degrade when working with extremely large datasets or very complex queries.
  • Limited Offline Capabilities
    1010Data is primarily cloud-based, which can be a limitation for users needing robust offline functionality for data analysis.

IBM Hybrid data management features and specs

  • Scalability
    IBM Hybrid Data Management solutions are designed to efficiently scale with the demands of businesses, accommodating growing data volumes and varying workloads without compromising performance.
  • Flexibility
    These solutions offer flexibility by enabling organizations to manage structured, semi-structured, and unstructured data across on-premises, cloud, and hybrid environments.
  • Robust Security
    IBM provides strong security features to protect sensitive data, including encryption, access controls, and compliance monitoring, which help safeguard data integrity and privacy.
  • Advanced Analytics
    Integrated tools allow businesses to perform advanced analytics and gain insights from their data, supporting data-driven decision-making processes.
  • Comprehensive Integration
    The platform supports seamless integration with various data sources and third-party tools, enhancing interoperability and data utilization across systems.

Possible disadvantages of IBM Hybrid data management

  • Complexity
    IBM Hybrid Data Management systems can be complex to configure and manage, requiring specialized knowledge and skills, which may lead to higher operational costs.
  • Cost
    Implementing IBM's data management solutions can be expensive, involving high upfront investments and ongoing costs, which might be prohibitive for smaller organizations.
  • Customization Limitations
    While flexible, the solutions may have limitations when it comes to customizations based on specific industry needs or unique business requirements.
  • Learning Curve
    Users and administrators might face a steep learning curve, necessitating time and resources for training and adaptation to fully leverage the system's capabilities.
  • Vendor Dependence
    Reliance on IBM for support and updates can lead to potential challenges, such as delayed responses or dependency on vendor-specific features and future releases.

1010Data videos

+ Add

Introduction to 1010data

More videos:

  • Review - 1010data Employee Reviews - Q3 2018
  • Review - 1010data Company Overview

IBM Hybrid data management videos

No IBM Hybrid data management videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to 1010Data and IBM Hybrid data management)

1010Data

IBM Hybrid data management

Data Dashboard
100 100%
Data Dashboard
0% 0
Business & Commerce
70 70%
Business & Commerce
30% 30
Product Information Management
0 0%
Product Information Management
100% 100
Database Tools
100 100%
Database Tools
0% 0

User comments

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Social recommendations and mentions

Based on our record, 1010Data 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.

1010Data mentions (1)

  • Where to get this kind of graph?
    Everything costs money. If you buy a subscription to https://www.vandaresearch.com/ you'll get this. If you buy a subscription to 1010data.com you'll get good info. If you're getting your info from WSB you're betting on epsilon, not alpha. Source: almost 3 years ago

IBM Hybrid data management mentions (0)

We have not tracked any mentions of IBM Hybrid data management yet. Tracking of IBM Hybrid data management recommendations started around Aug 2021.

What are some alternatives?

When comparing 1010Data and IBM Hybrid data management, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Ataccama - We deliver Self-Driving Data Management & Governance with Ataccama ONE. It’s a fully integrated yet modular platform for any data, user, domain, or deployment.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Dell EMC DataIQ - Dell EMC DataIQ is one of the unique storage monitoring and dataset management software for unstructured data that allows a unified file system of PowerScale, ECS, and delivers unique insights into data usage and storage system health.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

DataStax - DataStax delivers a scalable, flexible and continuously available big data platform built on Apache Cassandra.

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