Is your organization still heavily reliant and invested in Hadoop for Big Data?
If so, you might be facing avoidable high costs—across software license, infrastructure, specialized expertise, and complex maintenance support.
Introducing a Better Alternative for Big Data Platform
Blendata Enterprise: Unified Data Lakehouse Platform
Modern big data platform designed to fully replace Hadoop with a simpler, more efficient, and scalable architecture. Organizations using Blendata Enterprise have reported over 700% reduction in total cost of ownership (TCO), while maintaining and improving performance.
Why is Hadoop Falling Behind?
- Rising Costs: Changes in Hadoop vendors’ licensing models are continuously driving up expenses.
- Inefficient Resource Usage: Hadoop demands significantly more hardware when being compared to modern technologies and cloud.
- Skill Bottlenecks: Requires specialized skills, such as coding, which limits broader adoption.
- Complexity: Modern technologies are typically unified platforms that consolidate the capabilities of the Modern Data Stack into a single solution. They are faster, more efficient, and less complex than Hadoop—making them essential for organizations that demand both high performance and flexibility.
How Blendata Enterprise Solves the Problem?
- Powered by Apache Spark™* that Blendata has developed to optimize for 1.5x performance over Vanilla Spark.
- Handles both batch and streaming processing, delivering speed up to 100x faster than Hadoop MapReduce on disk and 10x faster in memory.
- Cloud-like architecture with compute and storage separation for easy scalability.
- Offers SQL and no/low-code options to minimize reliance on highly specialized personnel.
- Blendata Enterprise offers a unified platform with full Modern Data Stack capabilities. Its low-code workflow design enables teams to build end-to-end data pipelines without complex coding, making it easier to optimize data quickly and efficiently.
Success Story: Replacing 140 Hadoop Nodes with Just Only 30 VM Nodes
One of Thailand’s leading telecommunications companies replaced its legacy Hadoop system with Blendata Enterprise to manage data including call detail records (CDR), network performance metrics, and carrier-grade NAT (CGN) information.
Results Achieved:
- Reduced infrastructure from 140 bare metal nodes to just only 30 VM nodes.
- Lower the project total cost of ownership (TCO) by over 700%.
- Achieved processing performance comparable to their previous legacy system.
- Ready for future expansion with AI, ML, and integration with other platforms.
- Maintain similar interfaces to Hadoop including SQL, API, and CLI.
Why Should Organizations Choose Blendata Enterprise?
- Seamless Migration—no need to start from scratch.
- Uses familiar technologies similar to Hadoop while delivering superior performance.
- Comes with ready-to-use tools for migration in just 6 simple steps below.
Steps to Migrate from Hadoop to Blendata Enterprise:
- Install Blendata Enterprise on your existing infrastructure.
- Replace Flume or custom code with Blendata’s built-in connectors.
- Modify existing Hive/Impala and ETL scripts to run on Apache Spark™.
- Migrate Hive Metastore to Blendata’s Data Catalog.
- Move the Parquet files from HDFS to the new storage.
- Done—ready to explore your data now!
Blendata Enterprise is the ideal solution for modern organizations seeking high-performance Big Data platforms without the excessive costs of traditional Hadoop systems. With capabilities across speed, scalability, flexibility, and cost reduction, Blendata Enterprise is not just an “alternative” —it’s the “answer” for organizations committed to becoming truly data-driven.
Ready to modernize your data stack? Contact Blendata for consultation and receive more product details at [email protected] or call 02-781-9101.
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