Pipebird
Share data directly with customers' data warehouses or databases. Pipebird's open source infrastructure eliminates the need for your customers to use a third-party ETL provider to access data from you.
Pipebird Alternatives & Competitors
The best Pipebird alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Key Apache Spark features:
Speed Ease of Use Advanced Analytics Scalability
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Splunk's operational intelligence platform helps unearth intelligent insights from machine data.
Key Splunk features:
Powerful Data Analysis Real-Time Processing Scalability Wide Range of Integrations
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The most intuitive platform to manage projects and teamwork.
Key monday.com features:
User-Friendly Interface Customization Collaboration Integrations
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Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Key Amazon Athena features:
Serverless Pay-as-you-go Scalable Integration with AWS ecosystem
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Key Apache Flink features:
Real-time Stream Processing Event Time Processing State Management Fault Tolerance
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Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Key Apache Hive features:
Scalability SQL-like Interface Integration with Hadoop Ecosystem Schema on Read
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Fully managed extract, transform, and load (ETL) service.
Key AWS Glue features:
Fully Managed Scalability Serverless Integrated Data Catalog
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Distributed SQL Query Engine for Big Data (by Facebook).
Key Presto DB features:
High-Performance Query Engine Distributed SQL Query Engine Versatility ANSI-SQL Compatibility
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Fast column-oriented distributed data store.
Key Apache Druid features:
Real-Time Data Ingestion High Performance Scalability Flexible Data Exploration