Need advice about which tool to choose?Ask the StackShare community!
Add tool
Altiscale vs Panoply: What are the differences?
Altiscale vs. Panoply
Introduction: When comparing Altiscale and Panoply, it's crucial to understand their key differences to make an informed decision for data management and analytics.
1. **Data Storage**: Altiscale is a cloud-based data platform that offers Apache Hadoop as a service, providing scalable storage solutions for big data. In contrast, Panoply is a smart data warehouse that automates data integration and storage, allowing for easy access to insights without the complexities of managing infrastructure.
2. **Data Processing**: Altiscale focuses on distributed data processing using Hadoop clusters, enabling parallel processing of large datasets. On the other hand, Panoply uses an in-memory processing engine to speed up queries and analyses, optimizing performance for quicker insights.
3. **Data Integration**: Altiscale allows seamless integration with various data sources through Hadoop connectors and APIs, facilitating a holistic view of data across platforms. Meanwhile, Panoply's data integration capabilities involve automatic data ingestion and transformation, reducing the time and effort needed for data preparation.
4. **Cost Structure**: Altiscale follows a pay-as-you-go pricing model based on usage and storage, offering flexibility for organizations with fluctuating data needs. Panoply, on the other hand, offers transparent pricing based on the data volume and users, ensuring predictable costs without hidden fees.
5. **Ease of Use**: Altiscale provides a more technical interface suitable for data engineers and developers to customize data pipelines and workflows according to specific requirements. In contrast, Panoply offers a user-friendly interface with drag-and-drop features, making it accessible for business users without technical expertise.
6. **Scalability**: Altiscale can scale vertically by adding more resources to existing nodes or horizontally by adding more nodes to the cluster, adapting to growing data demands efficiently. Panoply's platform automatically scales resources based on the workload, ensuring optimal performance and resource utilization without manual intervention.
In Summary, understanding the differences between Altiscale and Panoply is essential for determining the best data management solution tailored to specific business needs.
Manage your open source components, licenses, and vulnerabilities
Learn MorePros of Altiscale
Pros of Panoply
Pros of Altiscale
- An ops team comes with it, so you're free to analyze3
- SOC2, PCI, HIPAA, Kerberos3
- The easiest, lowest cost, highest performing option3
- Hadoop ops experts run it all for you, don't need ops3
- Our data sci & analysts would scream if went back toEMR3
- Automated compute bursting3
- Super elastic, scalable, secure3
- Optimized cloud gives faster results, better completion2
- Simple, easy to use UI - Data Navigator is great2
- Easier pricing. No node worries. No surprise bills2
- Real domain experts running hadoop@scale, great service1
Pros of Panoply
Be the first to leave a pro
Sign up to add or upvote prosMake informed product decisions
3
6
308
What is Altiscale?
we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.
What is Panoply?
It is the data warehouse built for analysts. Our data management platform automates all three key aspects of the data stack: data collection, management, and query optimization.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Altiscale and Panoply as a desired skillset
What companies use Altiscale?
What companies use Panoply?
What companies use Altiscale?
What companies use Panoply?
Manage your open source components, licenses, and vulnerabilities
Learn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with Altiscale?
What tools integrate with Panoply?
What tools integrate with Altiscale?
No integrations found
What tools integrate with Panoply?
Sign up to get full access to all the tool integrationsMake informed product decisions
What are some alternatives to Altiscale and Panoply?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web