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Jihosoft Android Phone Recovery VS Apache Cassandra

Compare Jihosoft Android Phone Recovery VS Apache Cassandra and see what are their differences

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Jihosoft Android Phone Recovery logo Jihosoft Android Phone Recovery

A Powerful Android Recovery Tool to Recover Deleted/Lost SMS, Contacts, Photos, WhatsApp, etc.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Jihosoft Android Phone Recovery Landing page
    Landing page //
    2022-06-25
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Jihosoft Android Phone Recovery features and specs

  • Comprehensive Data Recovery
    Jihosoft Android Phone Recovery supports a wide range of data types, including photos, videos, messages, contacts, call logs, and more, making it a versatile tool for recovering lost data from Android devices.
  • User-Friendly Interface
    The software comes with an intuitive user interface that is easy to navigate, making it accessible for users with varying levels of technical expertise.
  • Multiple Device Compatibility
    It supports a large variety of Android devices and versions, ensuring a wide range of compatibility with different phones and tablets.
  • Preview Before Recovery
    Users have the option to preview files before recovery, allowing them to selectively restore specific items and ensuring that the recovered data is accurate.

Possible disadvantages of Jihosoft Android Phone Recovery

  • No Free Full Recovery
    The free version of the software typically allows users to scan and preview data but requires purchasing a license for full recovery capabilities, which might be a limitation for those seeking a completely free solution.
  • Limited Support for Latest Android Versions
    Support for the very latest Android versions or newer device models might be lagging, potentially limiting its effectiveness for users with the newest technology.
  • Varied Recovery Success Rate
    The success rate of recovering specific types of data can vary, sometimes depending on the extent of data corruption or how the data was lost initially, which can lead to inconsistent results.
  • Device Root Requirement
    For some advanced recovery options, the software might require the Android device to be rooted, which is a process that can be complicated and risky for average users.

Apache Cassandra features and specs

  • Scalability
    Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
  • High Availability
    Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
  • Performance
    It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
  • Flexible Data Model
    Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
  • Geographical Distribution
    Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
  • No Single Point of Failure
    Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.

Possible disadvantages of Apache Cassandra

  • Complexity
    Managing and configuring Cassandra can be complex, requiring specialized knowledge and skills for optimal performance.
  • Eventual Consistency
    Cassandra follows an eventual consistency model, meaning that there might be a delay before all nodes have the latest data, which may not be suitable for all use cases.
  • Write-heavy Operations
    Although Cassandra handles writes efficiently, write-heavy workloads can lead to compaction issues and increased read latency.
  • Limited Query Capabilities
    Cassandra's query capabilities are relatively limited compared to traditional RDBMS, lacking support for complex joins and aggregations.
  • Maintenance Overhead
    Regular maintenance tasks such as node repair and compaction are necessary to ensure optimal performance, adding to the administrative overhead.
  • Tooling and Ecosystem
    While the ecosystem for Cassandra is growing, it is still not as extensive or mature as those for some other database technologies.

Analysis of Jihosoft Android Phone Recovery

Overall verdict

  • Jihosoft Android Phone Recovery is generally considered a good option for those needing to recover lost or deleted data from Android devices. It offers a range of features and supports numerous file types, although some users may experience differing results depending on the data loss situation.

Why this product is good

  • Jihosoft Android Phone Recovery is a well-regarded data recovery software for Android devices. It is designed to retrieve lost files such as contacts, messages, photos, videos, call history, and more. The software is user-friendly, supports a wide variety of Android devices, and features a straightforward recovery process. Positive reviews often highlight its effectiveness in recovering data from accidental deletions and system crashes. However, as with any recovery tool, success can vary based on the specific circumstances of data loss and device condition.

Recommended for

    This software is recommended for Android users who have lost important data due to accidental deletion, device damage, system crashes, or other similar scenarios. It is particularly useful for individuals looking for a straightforward recovery process and who may not have technical expertise in data retrieval.

Analysis of Apache Cassandra

Overall verdict

  • Apache Cassandra is an excellent choice if you require a database system that can efficiently manage large-scale data while ensuring high availability and reliability. It is particularly well-suited for use cases that demand a robust, distributed, and scalable database solution.

Why this product is good

  • Apache Cassandra is a highly scalable and distributed NoSQL database management system designed to handle large amounts of data across multiple commodity servers without a single point of failure. It offers robust support for replicating data across multiple data centers, thereby enhancing fault tolerance and availability. Its masterless architecture and linear scalability make it suitable for high throughput online transactional applications.

Recommended for

  • Applications that require high availability and fault tolerance
  • Systems with large volumes of write-heavy workloads
  • Organizations that need multi-data center replication
  • Businesses seeking a scalable solution for distributed databases
  • Use cases needing real-time data processing with low latency

Jihosoft Android Phone Recovery videos

Jihosoft Android Phone Recovery 8.5.5 | Latest 2018 | Full Crack | Registation Key | Free Download

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Jihosoft Android Phone Recovery and Apache Cassandra)
Monitoring Tools
100 100%
0% 0
Databases
0 0%
100% 100
Backup & Restore
100 100%
0% 0
NoSQL Databases
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 Jihosoft Android Phone Recovery and Apache Cassandra

Jihosoft Android Phone Recovery Reviews

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Apache Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 44 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.

Jihosoft Android Phone Recovery mentions (0)

We have not tracked any mentions of Jihosoft Android Phone Recovery yet. Tracking of Jihosoft Android Phone Recovery recommendations started around Mar 2021.

Apache Cassandra mentions (44)

  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / about 1 month ago
  • Data integrity in Ably Pub/Sub
    All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / 6 months ago
  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 11 months ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 1 year ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing Jihosoft Android Phone Recovery and Apache Cassandra, you can also consider the following products

FonePaw Android Data Recovery - FonePaw Android Data Recovery helps to recover lost photos, contacts, messages, videos, audios and documents from Android phones & tablets.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

FoneDog Android Data Backup & Restore - Selectively backup your Android data to your computer with one click. You can also preview the backup files and choose what you want to restore.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Vibosoft DR. Mobile for Android - Strongest Recovery Tool for Android Smart Phone & Tablets

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.