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Top 10 Apache Hadoop Alternatives

Vendor: Apache
4.0 out of 5
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Top Apache Hadoop Competitors

Discover the top alternatives and competitors to Apache Hadoop based on the interviews we conducted with its users. The top alternative solutions include Teradata, Snowflake, and Oracle Exadata. The alternatives are sorted based on how often peers compare the solutions.

Apache Hadoop surpasses its competitors by offering scalable, cost-effective data storage and processing solutions with its reliable distributed computing model, making it an ideal choice for managing large datasets with robust fault tolerance and enhanced data processing capabilities.

Apache Alternatives Report

Learn what solutions real users are comparing with Apache, and compare use cases, valuable features, and pricing.
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Teradata
4.1 out of 5
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Teradata
4.1 out of 5
Teradata offers high-performance structured data handling with advanced analytics features. In comparison, Apache Hadoop provides flexibility and cost-effectiveness for unstructured data processing. Tech buyers might choose Teradata for complex queries and Hadoop for its scalability and open-source nature.
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Teradata typically incurs higher setup costs compared to Apache Hadoop which is known for lower initial expenses, highlighting the cost-effectiveness of Apache Hadoop for budget-conscious implementations.
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Teradata typically incurs higher setup costs compared to Apache Hadoop which is known for lower initial expenses, highlighting the cost-effectiveness of Apache Hadoop for budget-conscious implementations.
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Snowflake
4.2 out of 5
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Snowflake
4.2 out of 5
Snowflake excels in scalability and flexibility, facilitating efficient data management, whereas Apache Hadoop handles varied data types through open-source versatility. In comparison, Hadoop's strength lies in unstructured data processing, while Snowflake offers cost-effective deployment with cloud-native architecture for diverse user needs.
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Snowflake offers a streamlined setup with associated costs, while Apache Hadoop may involve more complex initial integration and higher investment.
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Snowflake offers a streamlined setup with associated costs, while Apache Hadoop may involve more complex initial integration and higher investment.
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Oracle Exadata
4.3 out of 5
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Oracle Exadata
4.3 out of 5
Oracle Exadata offers superior performance with automatic tuning and robust storage for data warehousing. In comparison, Apache Hadoop excels in handling large datasets with distributed processing and good scalability, making it ideal for diverse formats and high scalability needs.
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Oracle Exadata's setup cost is significantly higher than Apache Hadoop's, emphasizing Oracle's enterprise focus compared to Hadoop's open-source, cost-effective model.
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Oracle Exadata's setup cost is significantly higher than Apache Hadoop's, emphasizing Oracle's enterprise focus compared to Hadoop's open-source, cost-effective model.
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OpenText Analytics Database (Vertica)
4.1 out of 5
OpenText Analytics Database (Vertica) is noted for cost-effective analytic capabilities due to licensing by data size and offers high ROI through efficient performance. In comparison, Apache Hadoop's open-source nature supports flexible data management, though enterprise deployments may incur additional costs.
Download Apache Hadoop vs. OpenText Analytics Database (Vertica) Report
OpenText Analytics Database (Vertica) has a higher setup cost, offering advanced features and scalability, while Apache Hadoop presents a cost-effective option with open-source flexibility, making each suitable for distinctly different budget preferences and deployment needs.
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OpenText Analytics Database (Vertica) has a higher setup cost, offering advanced features and scalability, while Apache Hadoop presents a cost-effective option with open-source flexibility, making each suitable for distinctly different budget preferences and deployment needs.
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VMware Tanzu Data Solutions
4.0 out of 5
VMware Tanzu Data Solutions excels in MPP architecture and real-time processing, suitable for diverse environments. In comparison, Apache Hadoop offers open-source flexibility and large-scale data management with cost-effective scaling. Each solution caters to distinct deployment preferences and scalability needs.
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VMware Tanzu Data Solutions offers a streamlined setup process, whereas Apache Hadoop incurs higher initial setup costs.
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VMware Tanzu Data Solutions offers a streamlined setup process, whereas Apache Hadoop incurs higher initial setup costs.
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SAP BW4HANA
3.8 out of 5
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SAP BW4HANA
3.8 out of 5
Apache Hadoop excels with its scalability and compatibility across various data sets. In comparison, SAP BW4HANA provides robust analytics within SAP systems. Buyers might prefer Hadoop for its low cost or choose BW4HANA for comprehensive support and real-time enterprise reporting.
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Apache Hadoop typically presents lower initial setup costs compared to SAP BW4HANA, which tends to have a higher investment due to its comprehensive integration features.
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Apache Hadoop typically presents lower initial setup costs compared to SAP BW4HANA, which tends to have a higher investment due to its comprehensive integration features.
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IBM Netezza Performance Server
3.9 out of 5
IBM Netezza Performance Server offers rapid analytics and effortless administration, appealing to users needing performant appliance-based solutions. In comparison, Apache Hadoop's distributed processing and open-source nature suit organizations with the expertise and need for large-scale, adaptable data handling.
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IBM Netezza Performance Server involves a higher setup cost than Apache Hadoop, which offers a more affordable initial deployment, making it an attractive choice for cost-sensitive projects.
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IBM Netezza Performance Server involves a higher setup cost than Apache Hadoop, which offers a more affordable initial deployment, making it an attractive choice for cost-sensitive projects.
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Oracle Database Appliance
4.0 out of 5
Apache Hadoop excels in handling varied datasets due to its scalability and flexibility, making it cost-effective for big data analytics. In comparison, Oracle Database Appliance is valued for ease of deployment and integrated database management, appealing to companies seeking streamlined solutions.
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Apache Hadoop typically has lower setup costs, making it more accessible, while Oracle Database Appliance tends to have higher initial expenses, reflecting its comprehensive features and enterprise-grade reliability.
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Apache Hadoop typically has lower setup costs, making it more accessible, while Oracle Database Appliance tends to have higher initial expenses, reflecting its comprehensive features and enterprise-grade reliability.
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SAP IQ
3.9 out of 5
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SAP IQ
3.9 out of 5
SAP IQ excels in data compression and scalability with its columnar database optimized for analytics. In comparison, Apache Hadoop provides powerful distributed processing through HDFS and MapReduce, ideal for unstructured data, offering flexibility with its open-source nature for large-scale enterprises.
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SAP IQ shows a higher setup cost compared to Apache Hadoop, emphasizing its premium positioning, while Hadoop provides a more cost-effective installation, appealing to those prioritizing initial investment savings.
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SAP IQ shows a higher setup cost compared to Apache Hadoop, emphasizing its premium positioning, while Hadoop provides a more cost-effective installation, appealing to those prioritizing initial investment savings.
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IBM Db2 Warehouse
3.9 out of 5
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IBM Db2 Warehouse
3.9 out of 5
IBM Db2 Warehouse offers robust data warehousing with reliable analytics for structured data. In comparison, Apache Hadoop excels in managing unstructured data through flexibility and scalability, attracting tech-savvy teams with its open-source model for large-scale data processing.
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IBM Db2 Warehouse has a higher setup cost, while Apache Hadoop offers a more cost-effective initial setup.
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IBM Db2 Warehouse has a higher setup cost, while Apache Hadoop offers a more cost-effective initial setup.
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Oracle Big Data Appliance
4.0 out of 5
Apache Hadoop offers cost-effective scalability with open-source flexibility, appealing to organizations prioritizing budget. In comparison, Oracle Big Data Appliance provides a comprehensive, secure solution with straightforward deployment, attracting enterprises that value integrated performance and robust support despite higher initial costs.
Download Apache Hadoop vs. Oracle Big Data Appliance Report
Apache Hadoop offers a lower setup cost compared to the Oracle Big Data Appliance, making it a cost-effective option, while the Oracle solution provides extensive features that justify its higher initial investment.
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Apache Hadoop offers a lower setup cost compared to the Oracle Big Data Appliance, making it a cost-effective option, while the Oracle solution provides extensive features that justify its higher initial investment.
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TIBCO Live Datamart
4.5 out of 5
TIBCO Live Datamart excels in real-time analytics and predictive capabilities, attracting businesses seeking immediate data insights. In comparison, Apache Hadoop's strong data storage and processing abilities appeal to enterprises requiring scalability and extensive dataset handling. TIBCO offers quicker ROI; Hadoop provides long-term scalability.
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TIBCO Live Datamart typically requires a higher setup cost compared to Apache Hadoop, which can be appealing to those looking for a more cost-effective initial setup.
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TIBCO Live Datamart typically requires a higher setup cost compared to Apache Hadoop, which can be appealing to those looking for a more cost-effective initial setup.

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