Need advice about which tool to choose?Ask the StackShare community!
Myria vs Qubole: What are the differences?
Myria: Scalable Analytics-as-a-Service platform based on relational algebra. Myria is a distributed, shared-nothing Big Data management system and Cloud service from the University of Washington. We derive requirements from real users and complex workflows, especially in science; Qubole: Prepare, integrate and explore Big Data in the cloud (Hive, MapReduce, Pig, Presto, Spark and Sqoop). Qubole is a cloud based service that makes big data easy for analysts and data engineers.
Myria and Qubole can be primarily classified as "Big Data as a Service" tools.
Myria is an open source tool with 97 GitHub stars and 37 GitHub forks. Here's a link to Myria's open source repository on GitHub.
Manage your open source components, licenses, and vulnerabilities
Learn MorePros of Qubole
Pros of Qubole
- Simple UI and autoscaling clusters13
- Feature to use AWS Spot pricing10
- Optimized Spark, Hive, Presto, Hadoop 2, HBase clusters7
- Real-time data insights through Spark Notebook7
- Hyper elastic and scalable6
- Easy to manage costs6
- Easy to configure, deploy, and run Hadoop clusters6
- Backed by Amazon4
- Gracefully Scale up & down with zero human intervention4
- All-in-one platform2
- Backed by Azure2
38
169
85
What is Qubole?
Qubole is a cloud based service that makes big data easy for analysts and data engineers.
Need advice about which tool to choose?Ask the StackShare community!
What companies use Qubole?
What companies use Qubole?
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 Qubole?
What tools integrate with Qubole?
What are some alternatives to and Qubole?
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