Octo CLI vs Apache Spark
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning. | It makes the data available from any database as a serverless web service, simplifying the process of building data-driven applications. Knative and OpenFaaS are the only supported serverless frameworks in octo-cli for now. |
Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk;Write applications quickly in Java, Scala or Python;Combine SQL, streaming, and complex analytics;Spark runs on Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Cassandra, HBase, S3 | Supported Databases: PostgresSQL, MSSQL;
Supported Serverless Frameworks: OpenFaaS, Knative |
Statistics | |
GitHub Stars 42.2K | GitHub Stars 688 |
GitHub Forks 28.9K | GitHub Forks 18 |
Stacks 3.1K | Stacks 0 |
Followers 3.5K | Followers 10 |
Votes 140 | Votes 0 |
Pros & Cons | |
Pros
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Integrations | |
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What are some alternatives to Apache Spark, Octo CLI?
dbForge Studio for MySQL
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dbForge Studio for Oracle
It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.
dbForge Studio for PostgreSQL
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dbForge Studio for SQL Server
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Liquibase
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Sequel Pro
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DBeaver
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Presto
Distributed SQL Query Engine for Big Data
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Amazon Athena
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