Apache Spark Managed Services and Solutions Company

Apache Spark Development Solutions

Apache Spark is a high-performing large-scale analytics and data processing engine that offers high batch and interactive processing performance.

Streamlined Operations

Apache spark streamlines data processing objectives with in-memory computing capabilities and super-fast queries.

Empower Interactive Analytics

Spark-based real-time predictive analytics solutions for enterprises to gain faster and more practical business insights.

Run workloads Faster

With managed workloads, organizations can work on reducing costs and maximizing workload efficiency.

Empowering Apache Spark as a Service

Apache Spark is a fast cluster computing platform developed for performing computations and stream processing activities. Understand how it assists in building and processing data applications.

Apache Spark Architecture

Apache Spark Implementation Solutions

Utilizing Apache Spark's built-in libraries and APIs for data processing, machine learning, and streaming analytics.

Monitoring Solutions

Unified Memory Management

Collocated Data Engine

RDD in Apache Spark

Streamlined Performance

Monitoring Solutions

24x7 monitoring and support solutions for promoting efficient and faster workload performance.

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Unified Memory Management

Apache Spark comes with a shared memory pool for execution and caching, further empowering self-managing and optimization abilities.

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Collocated Data Engine

Apache Spark engine is present in the operational database, which means there is no need for extracting, transforming, and loading into a new environment.

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RDD in Apache Spark

Resilient Distributed Datasets driven solutions for extending Immutability, Fault Tolerance, and partitioning capabilities.

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Streamlined Performance

Apache Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing, running application to run up to 100x faster.

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