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Crystal Reports VS Apache Cassandra

Compare Crystal Reports VS Apache Cassandra and see what are their differences

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  3. » Reviews
  4. » Alternatives

Crystal Reports logo Crystal Reports

Save up to 25% when you buy or upgrade. Discover SAP Crystal Reports to take control of complex data and monitor business performance to achieve results.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Crystal Reports Landing page
    Landing page //
    2023-09-21
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Crystal Reports features and specs

  • Versatility
    Crystal Reports can connect to multiple data sources, including databases, spreadsheets, and cloud-based applications, making it highly versatile.
  • Extensive Formatting Options
    It offers a wide range of formatting options, allowing users to create highly customized and polished reports.
  • Comprehensive Data Analysis
    Crystal Reports provides advanced data analysis features such as grouping, sorting, and filtering, which facilitate detailed and comprehensive data analysis.
  • Integration
    The tool integrates well with various applications, including SAP and Microsoft environments, enhancing its functionality within existing workflows.
  • Export Capabilities
    Crystal Reports supports diverse export options, enabling users to convert reports into different formats like PDF, Excel, and Word.

Possible disadvantages of Crystal Reports

  • Cost
    Crystal Reports is relatively costly, which could be a barrier for small businesses or individual users.
  • Learning Curve
    The software has a steep learning curve due to its complex functionalities and extensive features, making it challenging for new users.
  • Performance Issues
    Generating large reports can sometimes lead to performance issues, such as slow processing times and increased resource consumption.
  • Limited Real-Time Reporting
    Crystal Reports is not optimal for real-time reporting, which may not meet the needs of users requiring live data updates.
  • Dependency on Other Software
    The functionality of Crystal Reports often depends on the compatibility and performance of associated software, such as databases and operating systems.

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 Crystal Reports

Overall verdict

  • Crystal Reports is generally considered a good tool for enterprise-level reporting needs due to its robust feature set and flexibility. However, it may present a learning curve for new users and can be seen as expensive, especially for smaller companies or those not already invested in complementary SAP products. Users often praise its comprehensive reporting features but also note the need for advanced training to fully leverage its potential.

Why this product is good

  • Crystal Reports is a business intelligence application used to design and generate reports from a wide range of data sources. It is highly valued for its powerful reporting capabilities, ability to handle complex data modelling, and strong integration with other software applications like SAP, Microsoft Excel, and various databases. It provides users with extensive customization options and supports a wide array of data visualization tools, making it an effective choice for businesses that require detailed and structured reports.

Recommended for

    Crystal Reports is recommended for medium to large businesses and organizations that need detailed and custom report generation capabilities. It is particularly beneficial for companies already utilizing SAP systems or those with complex reporting requirements that can benefit from its extensive functionality. IT professionals and business analysts who need precise control over data presentation in reports are likely to find it particularly useful.

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

Crystal Reports videos

+ Add

Crystal Reports 101

More videos:

  • Review - SAP Crystal Reports 2016: Nine Features Every User Should Know
  • Tutorial - Crystal Report Beginner Training Tutorial 2017 - An Introduction To SAP Crystal Reports

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Crystal Reports and Apache Cassandra)

Crystal Reports

Apache Cassandra

Business Intelligence
100 100%
Business Intelligence
0% 0
Databases
0 0%
Databases
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
NoSQL Databases
0 0%
NoSQL Databases
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 Crystal Reports and Apache Cassandra

Crystal Reports Reviews

We have no reviews of Crystal Reports yet.
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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.
Source: www.analytixlabs.co.in
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.

Crystal Reports mentions (0)

We have not tracked any mentions of Crystal Reports yet. Tracking of Crystal Reports 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 Crystal Reports and Apache Cassandra, you can also consider the following products

JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.

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

Telerik Reporting - Deliver Reports to Any Application. Add reports to any business application. View reports on mobile devices and in web, desktop and cloud apps. Export reports to any format.

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

Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

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

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