Software Alternatives, Accelerators & Startups

Apache Cassandra VS Storj Object Storage

Compare Apache Cassandra VS Storj Object Storage and see what are their differences

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Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Storj Object Storage logo Storj Object Storage

Storj Distributed Cloud Object Storage Global is an object storage which is fully compatible with Amazon S3, globally distributed in nature, automatically decentralized, always encrypted and lightning fast through parallelization.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Storj Object Storage Landing page
    Landing page //
    2024-10-08

Storj Distributed Cloud Object Storage Global harnesses decentralization for unparalleled security, durability and performance. With over 25,000 points of storage in 100+ countries, Storj Storj Distributed Cloud Object Storage Global spans a global storage network that benefits any storage needs of business or organization of any size:

Compatible: Amazon S3 compatible for transition without major code changes

Security: Default end-to-end encryption to protect data at rest and in transit

Unparalleled Resiliency: 11 9's durability, 99.95% availability and Enterprise SLAs

Speed: Low latency and high throughput performance

Global Data Availability: Erasure coded and globally distributed for parallel worldwide access

Global Collaboration: High performance global data sharing without multi-region costs

Cost-Effective and Environmental Friendly: Pay-per-use pricing with up to 90% lower costs and 83% less carbon emissions for worry-free scaling

Seamless Onboarding: Start a free trial or contact Sales for customized requirements

Storj Distributed Cloud Object Storage Global is the ideal solution for many use cases, due to its secure and encrypted network of globally distributed points of storage. This brings rapid parallel data transfers any data for any need, from Media Streaming, disaster recovery and video production to AI training, secure data backup and storage:

  • Backups and disaster recovery
  • Media workflows and video production
  • Archiving and data preservation
  • AI and machine learning
  • Smart home and IoT data storage
  • Secure data storage e. g. for CCTV or Healthcare
  • Large file transfer and software distribution
  • HPC and big data analytics

Watch a video on Storj Distributed Cloud Object Storage Global streaming directly from the distributed cloud: Click here.

Storj Object Storage

Website
storj.io
$ Details
Release Date
2020 March
Startup details
Country
United States
State
Georgia
City
Atlanta
Founder(s)
Shawn Wilkinson, James Prestwich, John Quinn, Tome Boshevski
Employees
50 - 99

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.

Storj Object Storage features and specs

  • Decentralization
    Storj.io utilizes a decentralized network of nodes, enhancing security and reducing the risk of data breaches compared to centralized solutions.
  • Cost-Effectiveness
    Storj.io often offers competitive pricing due to its decentralized nature, potentially lowering storage costs for users.
  • Redundancy and Reliability
    Data is sharded, encrypted, and distributed across multiple nodes, ensuring high availability and reducing the likelihood of data loss.
  • Privacy and Security
    Data is end-to-end encrypted, with encryption keys held by the users rather than the service provider, offering enhanced privacy and security.
  • Scalability
    The decentralized structure allows for easy scalability as the network grows, accommodating increased data storage needs without significant infrastructure investments.
  • Incentives
    Node operators are incentivized through payments in STORJ tokens, which can drive greater participation and maintenance of the network.

Possible disadvantages of Storj Object Storage

  • Dependent on Node Reliability
    The performance and reliability of the network depend on the individual node operators, which can be less predictable compared to centralized solutions with controlled environments.
  • Complexity for Non-Technical Users
    Setting up and managing storage may be more complex for non-technical users compared to traditional centralized storage services.
  • Performance Variability
    Data retrieval speeds can vary based on network conditions and the availability of nodes, potentially affecting performance consistency.
  • Market Adoption
    As a relatively new technology compared to established cloud storage providers, market acceptance and widespread adoption may take time.
  • Regulatory and Legal Risks
    The decentralized nature of Storj.io may pose challenges in terms of compliance with data protection regulations and legal requirements across different jurisdictions.
  • Token Volatility
    The use of STORJ tokens for payments introduces exposure to cryptocurrency market volatility, which can impact the cost-effectiveness and stability of operating on the network.

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Storj Object Storage videos

Demo - Getting started with Storj

More videos:

  • Demo - Demo - Uploading on object on Storj
  • Review - Review of STORJ.IO distributed cloud storage
  • Review - What is STORJ coin? An Honest & In-Depth Review
  • Review - StorjShare Review 3 month update
  • Demo - Introducing Storj DCS
  • Tutorial - Uploading Your First Object to Storj DCS Using the Object Browser
  • Tutorial - Uploading Objects via GatewayMT

Category Popularity

0-100% (relative to Apache Cassandra and Storj Object Storage)
Databases
100 100%
0% 0
Cloud Storage
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Storage
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 Apache Cassandra and Storj Object Storage

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

Storj Object Storage Reviews

7 Best Amazon S3 Alternatives & Competitors in 2024
The decentralized technology allows Storj DCS to offer native geo-redundancy and cross-region replication benefits (i.e. it duplicates applications across geographic regions).
Wasabi, Storj, Backblaze et al, are promising 80%+ savings compared to Amazon S3... What's the catch?
There is no data redundancy SLA for Storj DCS. So how do you explain that to your CTO/CIO/VP/SRE? To their credit, Storj DCS has enterprise-grade SLAs for most other aspects of the storage service, and it stands to reason that data redundancy should be pretty good thanks to its sprawling global network. However, for some companies, a data redundancy SLA may be a challenging...
Source: dev.to
Battle of decentralized storages: SiaCoin (SC) vs Storj (STORJ) vs Filecoin (FIL)
Storj is another open-source decentralized cloud storage creating project that looks to offer a decentralized, safe and efficient way of managing your data. The platform is Ethereum-based, meaning that the STORJ token is just one of many ERC-20 standard tokens currently being traded on the crypto markets. The company recently migrated to the Ethereum ERC20 standard as it was...

Social recommendations and mentions

Apache Cassandra might be a bit more popular than Storj Object Storage. We know about 44 links to it since March 2021 and only 41 links to Storj Object Storage. 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.

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 / 16 days 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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Storj Object Storage mentions (41)

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What are some alternatives?

When comparing Apache Cassandra and Storj Object Storage, you can also consider the following products

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

Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.

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

Contabo Object Storage - S3-compatible cloud object storage with unlimited, free transfer at a fraction of what others charge. Easy migration & predictable billing. Sign up now & save.

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

Hetzner Object Storage - Scalable object storage, S3-compatible and ideal for growing data volumes. Secure and flexible for efficient data storage.