Software Alternatives, Accelerators & Startups

Sejda VS Apache Hive

Compare Sejda VS Apache Hive and see what are their differences

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Sejda logo Sejda

Split, merge and other powerful PDF tools.

Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
  • Sejda Landing page
    Landing page //
    2023-04-25
  • Apache Hive Landing page
    Landing page //
    2023-01-13

Sejda features and specs

  • User-Friendly Interface
    Sejda features an intuitive and easy-to-navigate interface, making it accessible for users with varying levels of tech-savviness.
  • Wide Range of PDF Tools
    Sejda offers a comprehensive set of tools for editing, merging, splitting, compressing, and converting PDFs, catering to diverse user needs.
  • Cloud Integration
    Sejda allows users to import and export files directly from popular cloud storage services like Google Drive, Dropbox, and OneDrive, enhancing workflow efficiency.
  • Security Features
    The platform provides options for adding passwords and encryption to PDFs, ensuring that sensitive information remains secure.
  • Free Usage Tier
    Sejda offers a free version that allows users to perform basic PDF tasks without any cost, making it accessible to budget-conscious individuals and small businesses.

Possible disadvantages of Sejda

  • Limited Free Version
    The free plan comes with limitations such as a cap on the number of tasks performed per day and restrictions on the size of files that can be processed, which may not be sufficient for heavy users.
  • Subscription Cost
    The premium plans, while offering more features, can be relatively costly, which might be a concern for individual users or small businesses.
  • Internet Dependency
    As an online tool, Sejda requires a stable internet connection for optimal performance, which might be a limitation in areas with poor connectivity.
  • Limited Advanced Features
    While Sejda covers a wide range of basic to intermediate PDF functionalities, it may lack some advanced features that professional users might require, such as advanced form filling and data extraction.
  • Performance on Large Files
    Users may experience slower performance or occasional glitches when working with very large files, which could disrupt the user experience during critical tasks.

Apache Hive features and specs

  • Scalability
    Apache Hive is built on top of Hadoop, allowing it to efficiently handle large datasets by distributing the load across a cluster of machines.
  • SQL-like Interface
    Hive provides a familiar SQL-like querying language, HiveQL, which makes it easier for users with SQL knowledge to perform data analysis on large datasets without needing to learn a new syntax.
  • Integration with Hadoop Ecosystem
    Hive integrates seamlessly with other components of the Hadoop ecosystem such as HDFS for storage and MapReduce for processing, making it a versatile tool for big data processing.
  • Schema on Read
    Hive uses a schema-on-read model which allows it to work with flexible data schemas and handle unstructured or semi-structured data efficiently.
  • Extensibility
    Users can extend Hive's capabilities by writing custom UDFs (User Defined Functions), UDAFs (User Defined Aggregate Functions), and SerDes (Serializers/ Deserializers).

Possible disadvantages of Apache Hive

  • Latency in Query Processing
    Queries in Hive often take longer to execute compared to traditional databases, as they are converted to MapReduce jobs which can introduce significant latency.
  • Limited Real-time Processing
    Hive is designed for batch processing and is not suitable for real-time analytics due to its reliance on MapReduce, which is not optimized for low-latency operations.
  • Complex Configuration
    Setting up Hive and configuring it to work optimally within a Hadoop cluster can be complex and require a significant amount of effort and expertise.
  • Lack of Support for Transactions
    Hive does not natively support full ACID transactions, which can be a limitation for applications that require consistent transaction management across large datasets.
  • Dependency on Hadoop
    Hive's reliance on the Hadoop ecosystem means it inherits some of Hadoop's limitations, such as a steep learning curve and the need for substantial resources to manage a cluster.

Analysis of Sejda

Overall verdict

  • Yes, Sejda is generally considered a good tool for PDF editing.

Why this product is good

  • User-Friendly Interface: Sejda offers an intuitive interface that is easy to navigate, making it accessible for users of all experience levels.
  • Comprehensive Features: It includes various features such as PDF editing, merging, splitting, compressing, converting, and protecting with passwords.
  • Cross-Platform Support: Sejda is available online and has desktop versions for both Windows and macOS, allowing flexibility in how you access its tools.
  • Free and Paid Options: Sejda offers a helpful free tier that allows users to perform tasks without a subscription, while the paid version unlocks additional features and removes usage limitations.
  • Fast and Efficient: Users often report that tasks are completed quickly and with minimal hassle.

Recommended for

  • Individuals who need to perform occasional PDF edits without installing heavy software.
  • Small businesses looking for an affordable PDF management solution.
  • Students who need a tool for editing and organizing academic materials.
  • Professionals requiring an efficient tool for document workflow.

Sejda videos

Sejda PDF Editor Tutorial

More videos:

  • Review - Sejda Free PDF Tools~My Pick Of The Week & Free Shout Out

Apache Hive videos

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Category Popularity

0-100% (relative to Sejda and Apache Hive)
PDF Tools
100 100%
0% 0
Databases
0 0%
100% 100
PDF Editor
100 100%
0% 0
Big Data
0 0%
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 Sejda and Apache Hive

Sejda Reviews

The 13 Best Free PDF Editors (February 2024)
Sejda PDF Editor is one of the very few PDF editors that actually lets you edit pre-existing text in the PDF without adding a watermark. Most editors only let you change the text you add yourself, or they support text editing but then throw watermarks all over the place.
8 Best Adobe Acrobat Alternatives In 2022 [Updated List]
Answer: You can use Sejda to convert a PDF to Word without Adobe. On Sejda, you can convert documents of any file format to another in a few clicks easily.
Top 6 best free pdf editors
Sejda provides online services and desktop editors, capable of operating dozens of functions, such as: editing, form creation and modification, Bates, encryption and decryption, etc. But it has a daily limit for non-subscribers.
30 Best Adobe Acrobat Alternatives in 2020
Sejda PDF Editor is a free online PDF tool. It also provides direct links to open PDF documents with the editor. You can also use this editor to fill and sign PDF. The editor is alternative to other PDF creating and editing software such as Adobe acrobat. Use this software to compress PDF files.
Source: www.guru99.com
15 PDF editors quick review
An online service with basic PDF editing functionality and a desktop app. Sejda is obviously different from Adobe Acrobat and other popular PDF editors similar to it, which might be somewhat startling at the beginning. Sejda does not allow you to scan documents or create docs from other files. Though, if all you need is to make some slight amendments to a PDF file, it is...

Apache Hive Reviews

We have no reviews of Apache Hive yet.
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Social recommendations and mentions

Based on our record, Apache Hive should be more popular than Sejda. It has been mentiond 9 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.

Sejda mentions (6)

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Apache Hive mentions (9)

  • 15 AWS EMR Cost Optimization Tips to Slash Your EMR Spending (2025)
    AWS EMR (Elastic MapReduce) is a fully managed big data platform. It manages the setup, configuration, and tuning of open source frameworks like Apache Hadoop, Apache Spark, Apache Hive, Presto, and more at scale on AWS infrastructure. EMR handles cluster scaling, resource allocation, and lifecycle management. This allows you to work with large datasets for various use cases, from ETL pipelines to ML workloads.... - Source: dev.to / 7 months ago
  • Apache Iceberg as storage for on-premise data store (cluster)
    Trino or Hive for SQL querying. Get Trino/Hive to talk to Nessie. Source: over 3 years ago
  • In One Minute : Hadoop
    Hive, A data warehouse infrastructure that provides data summarization and ad hoc querying. - Source: dev.to / over 3 years ago
  • Apache Spark, Hive, and Spring Boot โ€” Testing Guide
    In this article, I'm showing you how to create a Spring Boot app that loads data from Apache Hive via Apache Spark to the Aerospike Database. More than that, I'm giving you a recipe for writing integration tests for such scenarios that can be run either locally or during the CI pipeline execution. The code examples are taken from this repository. - Source: dev.to / over 4 years ago
  • Jinja2 not formatting my text correctly. Any advice?
    ListItem(name='Apache Hive', website='https://hive.apache.org/', category='Interactive Query', short_description='Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.'),. Source: over 4 years ago
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What are some alternatives?

When comparing Sejda and Apache Hive, you can also consider the following products

iLovePDF - Premium online PDF tool set

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Smallpdf - PDF document management and conversion suite

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

Adobe Acrobat DC - Make your job easier with Adobe Acrobat DC, the trusted PDF creator. Use Acrobat to convert, edit and sign PDF files at your desk or on the go.

Amazon Athena - Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.