Software Alternatives, Accelerators & Startups

Apache Cassandra VS OpenCensus

Compare Apache Cassandra VS OpenCensus and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Apache Cassandra logo Apache Cassandra

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

OpenCensus logo OpenCensus

Application and Data, Monitoring, and Monitoring Tools
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • OpenCensus Landing page
    Landing page //
    2023-05-25

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.

OpenCensus features and specs

  • Unified Tracing and Metrics
    OpenCensus provides a single API for capturing distributed traces and metrics, allowing developers to instrument their applications without needing to work with multiple different libraries.
  • Multiple Language Support
    OpenCensus supports a wide range of programming languages, enabling its use across diverse technology stacks and facilitating easy integration into existing projects.
  • Backend Agnostic
    OpenCensus can export data to various backends including Prometheus, Stackdriver, Zipkin, and more, offering flexibility in monitoring and observability solutions.
  • Automatically Instrumented Libraries
    It provides automatic instrumentation for many popular libraries and frameworks, reducing the effort required to add observability into an existing codebase.
  • Open Source
    As an open-source project, OpenCensus allows for community involvement, continuous improvement, and transparency, with the potential for community-driven innovations and support.

Possible disadvantages of OpenCensus

  • Complexity of Configuration
    Configuring OpenCensus can be complex, especially for users who are not familiar with distributed tracing and metrics collection, potentially increasing the learning curve.
  • Integration Overhead
    Despite offering automatic instrumentation, integrating OpenCensus into a large existing application may still require significant effort and testing.
  • Performance Overhead
    Like any monitoring system, OpenCensus introduces some performance overhead that could impact application performance, particularly if not properly configured.
  • Fragmented Documentation
    The documentation for OpenCensus can be fragmented or lacking in certain areas, making it difficult for new users to find comprehensive guides or troubleshooting information.
  • Deprecation and Transition to OpenTelemetry
    OpenCensus is being merged into OpenTelemetry, which could lead to deprecation, and users might eventually need to transition to or adopt OpenTelemetry for continued support and updates.

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

OpenCensus videos

Custom metrics with OpenCensus

More videos:

  • Review - OpenTelemetry: Overview & Backwards Compatibility of OpenTracing + OpenCensus - Steve Flanders
  • Review - OpenTelemetry: Overview & Backwards Compatibility of OpenTracing + OpenCensus - Steve Flanders

Category Popularity

0-100% (relative to Apache Cassandra and OpenCensus)
Databases
100 100%
0% 0
Dev Ops
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Cloud
0 0%
100% 100

User comments

Share your experience with using Apache Cassandra and OpenCensus. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Cassandra and OpenCensus

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

OpenCensus Reviews

We have no reviews of OpenCensus yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than OpenCensus. 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.

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 / 28 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
View more

OpenCensus mentions (13)

  • OpenTelemetry Journey #01 - Important concepts
    First of all, let's start with the basics. There are some important concepts to be clarified before we dive into the OpenTelemetry world. The vast majority of the naming conventions and concepts are from projects and papers that inspired OpenTelemetry, such as OpenTracing, OpenCensus and Dapper. - Source: dev.to / about 1 year ago
  • OpenTelemetry Journey #00 - Introduction to OpenTelemetry
    OpenTelemetry it's a result from the merge of two important projects that are now archived: OpenTracing and OpenCensus. The project is incubated in Cloud Native Computing Foundation (CNCF) and has a strong community behind it. The CNCF is part of the Linux Foundation and hosts critical components of the global technology infrastructure, including Kubernetes and Prometheus. Currently, OpenTelemetry is the second... - Source: dev.to / about 1 year ago
  • Distributed Tracing with OpenTelemetry - Part I
    OpenTelemetry was born from the merger of two other standards that decided to unify forces instead of competing with each other; these projects were OpenTracing and OpenCensus. - Source: dev.to / over 2 years ago
  • Google Cloud Reference
    OpenCensus: Cloud native observability framework 🔗Link. - Source: dev.to / over 2 years ago
  • Tracing Gorm queries with OpenCensus & Google Cloud Tracing
    At incident.io we use gorm.io as the ORM library for our Postgres database, it's a really powerful tool and one I'm very glad for after years of working with hand-rolled SQL in Go & Postgres apps. You may have seen from our other blog posts that we're heavily invested in tracing, specifically with Google Cloud Tracing via OpenCensus libraries. A huge amount of our application's time is spent talking to Postgres... - Source: dev.to / almost 3 years ago
View more

What are some alternatives?

When comparing Apache Cassandra and OpenCensus, 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.

OpenTracing - Consistent, expressive, vendor-neutral APIs for distributed tracing and context propagation.

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

Thanos.io - Open source, highly available Prometheus setup with long term storage capabilities.

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

Metricbeat - Download Metricbeat, the open source tool for shipping metrics from operating systems and services such as Apache web server, Redis, NGINX, and more.