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Redis ™ VS Tibco Data Science

Compare Redis VS Tibco Data Science and see what are their differences

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Redis logo Redis

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

Tibco Data Science logo Tibco Data Science

Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...
  • Redis Landing page
    Landing page //
    2022-10-19

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.

  • Tibco Data Science Landing page
    Landing page //
    2022-10-04

Redis features and specs

  • Performance
    Redis is an in-memory data store, which allows it to provide extremely fast read and write operations. This makes it ideal for applications requiring real-time interactions.
  • Data Structures
    Redis offers a variety of data structures, such as strings, hashes, lists, sets, and sorted sets. This flexibility helps developers manage data more efficiently in different scenarios.
  • Scalability
    Redis supports horizontal scalability with features like clustering and partitioning, allowing for easy scaling as your application grows.
  • Persistence
    Though primarily an in-memory store, Redis provides options for data persistence, such as RDB snapshots and AOF logs, enabling data durability across reboots.
  • Pub/Sub Messaging
    Redis includes a built-in publish/subscribe messaging system, which can be used to implement real-time messaging and notifications.
  • Simple API
    Redis has a simple and intuitive API, which can speed up development time and make it easier to integrate Redis into various application stacks.
  • Atomic Operations
    Redis supports atomic operations on data structures, reducing the complexity of concurrent programming and making it easier to maintain data consistency.

Possible disadvantages of Redis

  • Memory Usage
    Being an in-memory data store, Redis can become expensive in terms of memory usage, especially when working with large datasets.
  • Data Persistence Limitations
    While Redis offers data persistence, it is not as robust as traditional databases. There can be data loss in certain configurations, such as when using asynchronous persistence methods.
  • Complexity in Scaling
    Although Redis supports clustering, setting up and managing a Redis cluster can be complex and may require significant DevOps expertise.
  • Single-threaded Nature
    Redis operates on a single-threaded event loop, which can become a bottleneck for certain workloads that could benefit from multi-threading.
  • Limited Query Capabilities
    Compared to traditional relational databases, Redis offers limited querying capabilities. Complex queries and joins are not supported natively.
  • License
    As of Redis 6 and higher, the Redis modules are under the Server Side Public License (SSPL), which may be restrictive for some use cases compared to more permissive open-source licenses.

Tibco Data Science features and specs

  • Scalability
    Tibco Data Science is designed to handle large amounts of data and scale as your needs grow, making it suitable for enterprise-level applications.
  • Integration Capabilities
    The platform integrates seamlessly with other TIBCO products and a wide array of third-party applications, enhancing its utility within diverse business environments.
  • User-Friendly Interface
    It offers a drag-and-drop interface which simplifies data processing and model building, making it accessible even for users with limited coding knowledge.
  • Collaboration Features
    Tibco Data Science allows teams to work together efficiently on projects, with features that support collaboration, version control, and sharing of data models.
  • Real-time Analytics
    The platform supports real-time analytics, useful for applications requiring immediate insights and decision-making.
  • Comprehensive Toolset
    It provides a wide range of tools for data manipulation, machine learning, and statistical analyses, offering a one-stop solution for data scientists.

Possible disadvantages of Tibco Data Science

  • Cost
    The platform can be expensive, particularly for smaller businesses or startups, making it less accessible for organizations with limited budgets.
  • Complexity
    Despite its user-friendly interface, the platform has a steep learning curve due to its extensive features and capabilities, which might overwhelm new users.
  • Resource Intensive
    Tibco Data Science can be resource-intensive, requiring powerful hardware and significant computational resources, which may pose challenges for some organizations.
  • Limited Flexibility
    While it integrates well with other TIBCO products, users sometimes find it less flexible when integrating with non-TIBCO technologies or legacy systems.
  • License Restrictions
    The platform has specific license restrictions and conditions that can limit flexibility in deployment and scaling, potentially complicating its use under certain circumstances.
  • Customer Support
    Users have reported that customer support can be slow at times and may not always provide satisfactory solutions to complex issues.

Analysis of Tibco Data Science

Overall verdict

  • TIBCO Data Science on Spotfire is generally considered a strong choice for organizations seeking a powerful and flexible data analytics solution. Its strengths lie in its comprehensive feature set and integration capabilities, which help users derive actionable insights from their data. However, the complexity of the platform may require a learning curve, which should be considered when choosing this tool.

Why this product is good

  • TIBCO Data Science, part of the Spotfire platform, is known for its robust data analytics capabilities and integration features. It provides a comprehensive suite of tools for data visualization, predictive analytics, and machine learning, making it suitable for users who need to handle complex data operations. It also supports collaboration, allowing multiple users to work on data projects simultaneously. The platform's ability to integrate with various data sources and its customization potential make it a versatile tool for data-driven decision-making.

Recommended for

    TIBCO Data Science is recommended for data scientists, analysts, and business users in medium to large organizations who need an advanced analytics platform. It is particularly beneficial for industries that require detailed data analysis and visualization, such as finance, healthcare, manufacturing, and telecommunications. It is suitable for teams that need collaborative features and organizations that deal with large volumes of data from diverse sources.

Redis videos

+ Add

Improve your Redis developer experience with RedisInsight, Redis Labs

More videos:

  • Review - What is Redis? | Why and When to use Redis? | Tech Primers
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

Tibco Data Science videos

No Tibco Data Science videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Redis and Tibco Data Science)

Redis

Tibco Data Science

Databases
100 100%
Databases
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Business & Commerce
0 0%
Business & Commerce
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 Redis and Tibco Data Science

Redis Reviews

Redis Alternative for App Performance | Gigaspaces
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its capabilities seamlessly in their applications. Developers also need to manage the Redis cached data lifecycle, it’s the application responsibility to store the data &...
Source: www.gigaspaces.com
Are Free, Open-Source Message Queues Right For You?
A notable challenge with Redis Streams is that it doesn't natively support distributed, horizontal scaling. Also, while Redis is famous for its speed and simplicity, managing and scaling a Redis installation may be complex for some users, particularly for persistent data workloads.
Source: blog.iron.io
Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
1. Redis: I'll start with Redis which I'd like to call the "original" key/value store (after memcached) because it is the oldest and most widely used of all. Being a long-time follower of Redis, I do know it's single-threaded (and uses io-threads since 6.0) and hence it achieves lesser throughput than the other stores listed above which are multi-threaded, at least to some...
Source: news.ycombinator.com
Memcached vs Redis - More Different Than You Would Expect
Remember when I wrote about how Redis was using malloc to assign memory? I lied. While Redis did use malloc at some point, these days Redis actually uses jemalloc. The reason for this is that jemalloc, while having lower peak performance has lower memory fragmentation helping to solve the framented memory issues that Redis experiences.
Source: engineering.kablamo.com.au
Top 15 Kafka Alternatives Popular In 2021
Redis is a known, open-source, in-memory data structure store that offers different data structures like lists, strings, hashes, sets, bitmaps, streams, geospatial indexes, etc. It is best utilized as a cache, memory broker, and cache. It has optional durability and inbuilt replication potential. It offers a great deal of availability through Redis Sentinel and Redis Cluster.
Source: www.spec-india.com

Tibco Data Science Reviews

Top 7 Predictive Analytics Tools
TIBCO Data Science/Statistica puts the emphasis on usability, with a lot of collaboration and workflow features built into the tool to make business intelligence possible across an organization. This makes it a good choice for a company if they expect lesser-trained staff will use the tool. It also integrates with a wide range of other analytics tools, making it easy to...
Source: www.datamation.com
15 data science tools to consider using in 2021
The development of SAS started in 1966 at North Carolina State University; use of the technology began to grow in the early 1970s, and SAS Institute was founded in 1976 as an independent company. The software was initially built for use by statisticians -- SAS was short for Statistical Analysis System. But, over time, it was expanded to include a broad set of functionality...
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: TIBCO offers an expansive product portfolio for modern BI, descriptive and predictive analytics, and streaming analytics and data science. TIBCO Data Science lets users do data preparation, model building, deployment and monitoring. It also features AutoML, drag-and-drop workflows, and embedded Jupyter Notebooks for sharing reusable modules. Users can run...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, Redis seems to be more popular. It has been mentiond 218 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.

Redis mentions (218)

  • Cache Invalidation: The Silent Performance Killer
    Picture this: you've just built a snappy web app, and you're feeling pretty good about it. You've added Redis to cache frequently accessed data, and your app is flying—pages load in milliseconds, users are happy, and you're a rockstar. But then, a user updates their profile, and… oops. The app still shows their old info. Or worse, a new blog post doesn't appear on the homepage. What's going on? Welcome to the... - Source: dev.to / 20 days ago
  • Feature Comparison: Reliable Queue vs. Valkey and Redis Stream
    Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / 26 days ago
  • Finding Bigfoot with Async Generators + TypeScript
    Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / about 1 month ago
  • Caching Isn’t Always the Answer – And Here’s Why
    Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / about 1 month ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / about 2 months ago
View more

Tibco Data Science mentions (0)

We have not tracked any mentions of Tibco Data Science yet. Tracking of Tibco Data Science recommendations started around Mar 2021.

What are some alternatives?

When comparing Redis and Tibco Data Science, you can also consider the following products

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

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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