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PlanetScale VS Thomson Reuters Datastream

Compare PlanetScale VS Thomson Reuters Datastream and see what are their differences

PlanetScale logo PlanetScale

The last database you'll ever need. Go from idea to IPO.

Thomson Reuters Datastream logo Thomson Reuters Datastream

Thomson Reuters Datastream is a financial time series database that allows to identify and examine trends, generate and test ideas and develop view points on the market.
  • PlanetScale Landing page
    Landing page //
    2023-10-15
  • Thomson Reuters Datastream Landing page
    Landing page //
    2021-10-16

PlanetScale features and specs

  • Scalability
    PlanetScale is designed for massive scale, leveraging the Vitess engine that powers YouTube. This makes it suitable for applications requiring high scalability for both read and write operations.
  • Global Distribution
    Offers multi-region deployment, ensuring low-latency access and higher availability, beneficial for globally distributed applications.
  • Serverless Approach
    The platform takes a serverless approach to database management, which means automatic scaling, less infrastructure to manage, and potential cost savings.
  • Branching and Sharding
    Supports database branching for isolated environments like development, testing, and production. It also supports sharding, which helps in distributing data across multiple nodes for better performance and reliability.
  • High Availability
    PlanetScale provides high availability with automated failover mechanisms, ensuring minimal downtime.
  • Strong Data Integrity
    Uses Vitess’s strong consistency models to ensure data integrity across distributed systems.
  • Developer Friendly
    Includes tools and features that make it easier for developers to manage, such as automatic migrations and simplified schema management.
  • Integration
    Can be easily integrated with various cloud service providers, making it flexible for different deployment environments.

Possible disadvantages of PlanetScale

  • Learning Curve
    The platform comes with a learning curve, especially for teams unfamiliar with Vitess or managing distributed databases.
  • Cost
    While it can offer cost savings in some areas, the pricing for large-scale deployments and multi-region setups can be relatively high.
  • Complexity of Advanced Features
    Advanced features like sharding and branching can add complexity to the database management operations.
  • Limited Ecosystem
    Compared to more established databases, the ecosystem and community around PlanetScale might be smaller, which can affect the availability of third-party tools and community support.
  • Vendor Lock-in
    Using a proprietary platform can lead to vendor lock-in, making it harder to switch to other database services if needed.
  • Early-stage Platform
    While promising, PlanetScale is relatively new compared to some other established database services, which means it may lack some maturity or have bugs that older platforms have ironed out.

Thomson Reuters Datastream features and specs

No features have been listed yet.

PlanetScale videos

PlanetScale Beta - Release Radar

More videos:

  • Review - Using PlanetScale (MySQL) with Next.js and Vercel!
  • Review - PlanetScale and Prisma: building in the cloud - Nick Van Wiggeren | Prisma Day 2021

Thomson Reuters Datastream videos

SEGMEN : LITERACY TALK WITH LIBRARIAN "INTRODUCTION TO THOMSON REUTERS DATASTREAM EIKON"

Category Popularity

0-100% (relative to PlanetScale and Thomson Reuters Datastream)
Databases
92 92%
8% 8
Developer Tools
100 100%
0% 0
NoSQL Databases
0 0%
100% 100
Vitess
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, PlanetScale seems to be more popular. It has been mentiond 102 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.

PlanetScale mentions (102)

  • Ask HN: What's the best free database provider out there?
    Https://planetscale.com/ would be a good bet. - Source: Hacker News / 23 days ago
  • List of 45 databases in the world
    PlanetScale — Serverless database platform built on MySQL and Vitess. - Source: dev.to / 10 months ago
  • Good alternatives to Heroku
    Planetscale - Directly from their website: "PlanetScale is a MySQL-compatible serverless database that brings you scale, performance, and reliability — without sacrificing developer experience.". - Source: dev.to / 12 months ago
  • MySQL or Top Alternatives in 2024 and How to Choose One
    PlanetScale is a MySQL-compatible database that offers scale, performance, and reliability, and many more powerful database features. Leveraging cloud-native architecture, PlanetScale enables organizations to deploy, manage, and scale MySQL-compatible databases with ease. With features such as automatic sharding, distributed transactions, and high availability, PlanetScale enables businesses to handle large... - Source: dev.to / about 1 year ago
  • Breaking the Myth: Scalable, Multi-Region, Low-Latency App Exists And Will Not Cost You A Kidney.
    For MySQL, we've got PlanetScale, and for PostgreSQL, there's Neon. - Source: dev.to / about 1 year ago
View more

Thomson Reuters Datastream mentions (0)

We have not tracked any mentions of Thomson Reuters Datastream yet. Tracking of Thomson Reuters Datastream recommendations started around Mar 2021.

What are some alternatives?

When comparing PlanetScale and Thomson Reuters Datastream, you can also consider the following products

Datahike - A durable datalog database adaptable for distribution.

OpenTSDB - OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase.

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

InfluxData - Scalable datastore for metrics, events, and real-time analytics.

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

MySQL - The world's most popular open source database