Hadoop
Apache Hadoop is an open-source software framework designed for reliable, scalable, and distributed processing of large data sets. It effectively manages clusters of computers, handling failures at the application layer to ensure high availability. The latest version, 3.4.1, introduces significant bug fixes and enhancements, improving operational efficiency.
Top Hadoop Alternatives
Apache Druid
Apache Druid is a powerful open-source distributed data store designed for real-time analytics.
Apache Iceberg
Apache Iceberg is a high-performance format designed for large analytic tables, seamlessly integrating with engines like Spark and Hive.
Amazon EC2 Spot
Amazon EC2 Spot Instances provide a powerful way to capitalize on unused AWS EC2 capacity, offering discounts of up to 90% compared to On-Demand prices.
Apache Spark
Apache Spark is a powerful analytics engine designed for large-scale data processing, adept at handling both batch and streaming data.
Azure Data Share
Azure Data Share simplifies and secures big data sharing across organizations, enabling users to share data of any format and size from various sources.
Oracle Big Data Preparation
Oracle Big Data Preparation Cloud Service offers a robust PaaS solution for efficiently managing large data sets.
Azure Data Lake Storage
It supports massive data volumes with hierarchical organization, file-level security, and cost-effective tiered storage, enabling...
Oracle Big Data Service
It enables quick creation of Hadoop-based data lakes to enhance data warehouses, while providing tools...
DataPlay
With integrated Excel and PowerPoint Add-ins, users can efficiently build crosstabs, conduct statistical tests, and...
Oracle Cloud Infrastructure Data Flow
It automatically provisions infrastructure, manages networking, and handles security, allowing developers to concentrate on application...
AristotleInsight
By delivering real-time alerts and diagnostics on insider threats, APT detection, and vulnerabilities, it enhances...
IBM DataStage
With robust capabilities for ETL and ELT, it enables users to efficiently move and transform...
TimeXtender
Users can efficiently ingest, prepare, and deliver reliable data, ensuring governance and accuracy while significantly...
IBM Db2 Big SQL
It enables seamless querying across diverse data sources, including Hadoop, NoSQL databases, and object stores...
Palantir Gotham
By enriching and mapping data into defined objects, it empowers organizations to navigate complex challenges...
Top Hadoop Features
- Reliable distributed computing
- Scalable framework architecture
- Handles hardware failures gracefully
- Supports large data sets
- Simple programming model
- Cluster computing capabilities
- Integration with various file systems
- Software Bill of Materials (SBOM)
- Improved token operations
- MySQL token storage support
- Exposed HDFS-specific APIs
- Enhanced security features
- Critical bug fixes included
- Wide industry adoption
- Extensive module support
- User-friendly upgrade path
- Continuous performance improvements
- Active community contributions
- Regular release updates
- Strong compatibility with AWS.
