Software Alternatives, Accelerators & Startups

Sumo Logic VS Apache Cassandra

Compare Sumo Logic VS Apache Cassandra and see what are their differences

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Sumo Logic logo Sumo Logic

Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Sumo Logic Landing page
    Landing page //
    2023-10-20
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Sumo Logic features and specs

  • Scalability
    Sumo Logic is designed to handle large volumes of data, making it suitable for organizations of different sizes and industries. It can scale up or down based on your needs.
  • Real-time Analytics
    The platform provides real-time analysis of logs and metrics, allowing for immediate insights and faster decision-making.
  • Unified Platform
    Sumo Logic offers a single platform for application observability, security, and compliance, reducing the need for multiple tools and streamlining workflows.
  • Machine Learning Capabilities
    The platform includes advanced machine learning features for anomaly detection, predictive analytics, and root cause analysis, enhancing the ability to detect and troubleshoot issues.
  • Integrations
    Sumo Logic supports numerous integrations with other tools and platforms, including AWS, Azure, Google Cloud, and various DevOps, security, and observability tools.
  • Compliance and Security
    The platform offers robust security features and facilitates compliance with various industry standards, such as HIPAA, GDPR, and SOC 2.

Possible disadvantages of Sumo Logic

  • Cost
    Sumo Logic can be expensive, particularly for smaller organizations or those with budget constraints. The cost may increase significantly with higher data volumes.
  • Complexity
    The platform has a steep learning curve, especially for users who are new to log management and analytics tools. This could lead to a longer onboarding process.
  • Search Performance
    In some cases, users have reported slow search performance, especially when querying large datasets or during peak usage times.
  • Limited Customization
    While Sumo Logic offers a wide range of features, there are limitations in customizing dashboards and alerts to fit specific requirements fully.
  • Dependence on Internet Connectivity
    As a cloud-based solution, Sumo Logic requires a reliable internet connection. Any disruption in connectivity can impact access to the platform and its features.

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.

Sumo Logic videos

Sumo Logic 2013 Year in Review

More videos:

  • Demo - Next Generation Log Management & Analytics - Demo of Sumo Logic

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Sumo Logic and Apache Cassandra)
Monitoring Tools
100 100%
0% 0
Databases
0 0%
100% 100
Log Management
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 Sumo Logic and Apache Cassandra

Sumo Logic Reviews

The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
Sumo Logic is yet another tempting Nagios alternative, especially appealing to large corporations, while also offering notable infrastructure monitoring capabilities. One standout feature of Sumo Logic is its utilization of cloud-based machine learning, which proves invaluable in efficiently managing vast amounts of data concurrently, making it particularly advantageous for...
Source: betterstack.com
10 Best Grafana Alternatives [2023 Comparison]
Sumo Logic is able to process big data, which means that it is aimed at companies that have a lot of data. In other words, Sumo Logic is aimed at big corporations with big budgets.
Source: sematext.com
11 Best Splunk Alternatives
Sumo Logic is a SaaS-based log management application that can monitor both on-premises and cloud-based services. The platform includes integrations for AWS, Microsoft Azure, Google Cloud, Kubernetes, and Docker, allowing it to work alongside your current tools and services.
8 Dynatrace Alternatives to Consider in 2021
Sumo Logic is an APM platform that promises faster troubleshooting with integrated logs, metrics, and traces. It focuses on cloud operations and providing analytics to support developers. It has multi-cloud support with over 150 apps that you can integrate with your work. It promises security, scalability, reliability, and performance by ensuring that data is unlimited for...
Source: scoutapm.com
Top 5 NGINX Log Analyzer Tools – Driving Business Growth with Data
Sumo Logic offers an application to analyze NGINX server logs. In addition to analyzing NGINX server performance, the tool can monitor complex transactions and track usage patterns. It uses machine learning capabilities to efficiently analyze huge amounts of logs. The unified logging system enables developers to monitor and troubleshoot issues in real-time, allowing faster...

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 a lot more popular than Sumo Logic. While we know about 44 links to Apache Cassandra, we've tracked only 1 mention of Sumo Logic. 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.

Sumo Logic mentions (1)

  • Roadmap for July
    He's coming with years of experience of having architected systems at Uber, Flock, Sumo Logic and was a founding engineer who helped design the cryptography primitives at Zeta. Someone of his caliber coming onboard means that we'll be able to ship nicer things faster. 🎉. Source: almost 4 years ago

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 Sumo Logic and Apache Cassandra, you can also consider the following products

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

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

LogicMonitor - LogicMonitor is the SaaS performance monitoring platform for the world's best IT teams. Deploy Fast, Monitor More, Improve Ops.

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