Big Data Processing and Distribution Software List (January 2025)

Get HDInsight, an open-source analytics service that runs Hadoop, Spark, Kafka, and more. Integrate HDInsight with big data processing by Azure for even more insights.

Azure Data Lake Storage is a secure cloud platform that provides scalable, cost-effective storage for big data analytics.

Get HDInsight, an open-source analytics service that runs Hadoop, Spark, Kafka, and more. Integrate HDInsight with big data processing by Azure for even more insights.

Cloud Dataprep by Trifacta is a data prep & cleansing service for exploring, cleaning & preparing datasets using a simple drag & drop browser environment

Combines open source Hadoop and Spark to cost-effectively analyze and manage big data. Built on IBM Open Platform, which provides complete open source distribution of Apache ecosystem components. Helps improve your ROI whether in the cloud or on-premises.

Snowplow gives teams complete flexibility and control over how behavioral data is collected, structured, processed, modeled and stored.

Dataproc is a fast, easy-to-use, fully managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way

Dataflow is a fully managed streaming analytics service that minimizes latency, processing time, and cost through autoscaling and batch processing.

MaxCompute is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing.

The Databricks Lakehouse Platform combines the best qualities of data warehouses and data lakes to provide a single solution for all your data, analytics and AI workloads. It helps organizations accelerate innovation by unifying data teams with an open, scalable platform for critical data-driven use cases – from streaming analytics to BI, data science and AI.

Databricks is a compact data management platform that enables businesses to unify their analytics, data and AI, storing them all in a secured location. Users get to unify their entire data ecosystem belonging to different standards and formats. The software includes collaborative features allowing team members to work together across the entire data and AI workflow. It also brings collaborative notebooks within a unified portal enabling companies to work easily with Python, R SQL and Scala. Databricks includes openness and flexibility which provides reliability and performance within the data warehouses. These qualities of the platform make it a perfect solution for structured, unstructured and semi-structured data types. With Databricks, businesses can use their existing BI tools to analyse the updated metrics in real-time. Furthermore, the software also comes equipped with a heap of solutions facilitating a complete ML lifecycle management which supports any data type across multiple scales. This ML lifecycle also enables businesses to train models and manage their deployment in a way that best serves their individual purposes.

Dremio is a comprehensive SQL lakehouse platform helping out companies with interactive analytics and high-performing BI on data lake storage. The platform eliminates costly, rigid and complex data pipelines making it easier for users to move and copy data into the proprietary data warehouses. In addition, it also eliminates performance-oriented copies of data, such as extracts, cubes and aggregation tables to provide lightning-fast analytics. To ease it down further for users, the software removes inconsistency and data sprawl, besides offering consistent and centralised data semantics in real-time. Moreover, with Dremio, companies can also discover, analyse, share and curate data sets in a single place. They can build interactive dashboards on their data lake in order to leverage native Dremio connectors in Power BI and Tableau. The platform also helps users with seamless workload management, comprising multiple concurrencies using an elastic architecture that grows infinitely. Ultimately, users can also perform record-level mutations and get access to past data on their data lake.

Our software automates the process of building and managing Linux clusters in your datacenter, the cloud, and at the edge, for high performance computing.

Solix CDP delivers cloud data management a service tailored for modern data-driven enterprises. By leveraging open source, cloud-native technologies, Solix CDP ensures seamless management and processing of structured, semi-structured, and unstructured data. This enables advanced analytics, compliance, infrastructure optimization, data security, machine learning, and AI. Key components such as Solix Connect for data ingestion, Solix Data Governance for compliance, Solix Metadata Management for data cataloging, and Solix Discovery for text searches and queries, provide a robust framework for building and running data-driven applications. These include SQL data warehouses, enterprise archiving, and enterprise data lakes. With Solix CDP, companies can easily meet complex data regulations, data retention requirements, and consumer data privacy standards, presenting a comprehensive solution for big data processing and distribution.

Pandio software is a distributed messaging system with Apache Pulsar for business. The software offers Artificial Intelligence to gain insights with real-time metrics, manage components and save SQL queries, and more. Manage deployment of your applications to measure the performance with streams, queues, pubsub, and stateful functions. Small and Medium companies make use of the software.

Tilores is revolutionizing how data-driven enterprises manage customer information with its advanced entity-resolution technology. Designed for exceptional speed, scalability, and cost-efficiency, Tilores seamlessly integrates internal data to create a comprehensive view of customers across all source systems. This state-of-the-art API empowers businesses to develop real-time solutions for risk management, fraud detection, and personalized digital experiences, all without the complications typically associated with traditional engineering. By integrating Tilores with their LLMs, data scientists can effortlessly search, unify, and retrieve scattered customer data. The LLM then utilizes this consolidated information to provide accurate responses to inquiries or serve as context for analyzing subsequent unstructured data. Tilores equips organizations to effectively navigate complex data environments, ensuring their competitiveness and agility in today’s rapidly evolving digital landscape.

DNIF is a Big Data Analytics platform which specialises in solving cyber security challenges with real time data analytics. It can fire up profiler in seconds, which is unique to this industry. It not only identifies anomalies based on what you know, but also runs profilers on any parameters.

GI Big Data Analytics is a complete Big Data platform for companies that want to really benefit from the best technologies on the market. GI Big Data offer Analytics comprises all what you need: - Cloud Data Warehouse based on the best Technologies. - Algorithms; - Key Metrics on TV screens; - Open access of the platform to your business & technical teams.

Datazip revolutionizes data management by allowing to ingest, store, organize, and query all the data in one place while handling infrastructure scaling, ensuring data quality, and enabling seamless data access. With Datazip, one can clean, organize, and enrich the data into easy-to-understand schemas and tables, making it simple to connect various data points to resolve both straightforward and complex business inquiries. Visualize the data effortlessly through a robust portfolio of dashboards and reports, featuring intuitive tables and graphs. The Embedded SDK enables to embed Superset dashboards within the own web app, using an app’s existing authentication system. This integration is achieved by inserting an iframe containing a dashboard page into the host application, ensuring users don’t need to log in again if they are already authenticated in the Host App. Datazip not only simplifies data management but also enhances user experience, empowering businesses to focus on growth and decision-making.

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. EMR automatically configures EC2 firewall settings, controlling network access to instances and launches clusters in an Amazon Virtual Private Cloud (VPC). You can launch EMR clusters with custom Amazon Linux AMIs and easily configure the clusters using scripts to install additional third-party software packages.