Code42 is a SaaS solution for enterprises that secures all user data on one secure platform, leaving you and your business secure in the knowledge that both your employee's and customer's data is protected. Read more about Code42.
Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS.
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Which is more popular?
Based on our record, Apache Cassandra
seems to be a lot more popular than Code42.
While we know about 45 links to Apache Cassandra,
we've tracked only 1 mention of Code42.
social mentions
45 vs 1
Databases popularity
100% vs 0%
alternatives listed
230 vs 240+
Base details
Website, pricing, platforms and company facts side by side.
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
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.
Comprehensive Data Protection Code42 offers extensive data backup and recovery solutions, ensuring that user data is protected against loss or accidental deletion.
Real-Time Backup The platform provides real-time and continuous backups, minimizing data loss by ensuring the latest data is always protected.
Cross-Platform Support Code42 supports multiple operating systems, including Windows, macOS, and Linux, offering flexibility for diverse IT environments.
User-Friendly Interface The software features an intuitive and easy-to-navigate interface, making it accessible even for users with limited technical knowledge.
Strong Security Measures Code42 implements robust encryption both in transit and at rest, ensuring that user data remains secure and confidential.
Scalability The platform is designed to scale with business growth, from small businesses to large enterprises, providing tailored solutions as needs evolve.
Centralized Management Administrators can manage and monitor all backups from a central dashboard, simplifying oversight and ensuring compliance with company policies.
Possible disadvantages
Cost Code42 can be expensive, especially for small businesses or startups that may have limited IT budgets.
Bandwidth Consumption Real-time backups can sometimes use significant bandwidth, potentially affecting other network activities if not managed properly.
Resource Intensive The software can be resource-intensive, potentially slowing down older or less powerful systems during backup operations.
Complexity in Large Deployments While scalable, large enterprise deployments may require significant time and expertise to set up and manage effectively.
Limited Mobile Support Currently, Code42 offers limited functionality on mobile devices compared to its desktop application.
Analysis
An editorial look at what each product does well and who it suits.
Apache CassandraCode42
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
Determine the type of data that your application will be handling. The options from the relational database list, like PostgreSQL or MySQL, are your top pick with structured data, while NoSQL options (MongoDB or...
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...
Code42’s Threat and Vulnerability Management software monitors for vulnerabilities on an on-going basis. It also conducts monthly internal as well as external vulnerability scans using industry-recognized top-notch...
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVM—such as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data...
- Source: dev.to
/
7 months ago
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...
- Source: dev.to
/
over 1 year 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....
- Source: dev.to
/
almost 2 years ago
Looking for the best cloud backup for all my files
It's not a big surprise, given that Code42 (the parent company) pretends they have nothing to do with Crashplan. They've done a massive pivot to some kind of security company, with ZERO references to the OG product of Crashplan on...
Source:
over 4 years ago
Alternatives to Apache Cassandra and Code42
When comparing Apache Cassandra and Code42, you can also consider the following products.
MongoDB
Redis
ArangoDB
OrientDB
neo4j
Azure Cosmos DB
PostgreSQL
Symantec Data Loss Prevention
Microsoft BitLocker
Paubox
GravityZone
Virtru
Arcserve UDP
Carbonite
