Best OpenZoo Alternatives & Competitors in 2025

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Key Google Cloud Dataflow features:

Scalability Fully Managed Unified Programming Model Integration

Streamdata.io provides a proxy-as-a-service that turns any request-response REST APIs into an event-driven streaming API.

Seamless project management and collaboration for your team.

Key Hive features:

Free Trial Integrations File sharing Easy to Set-up and use

Visit website $12.0 / Monthly (Per user)

Azure Stream Analytics offers real-time stream processing in the cloud.

Key Azure Stream Analytics features:

Real-time Data Processing Ease of Use Scalability Integration with Azure Ecosystem

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

Open Source

Confluent offers a real-time data platform built around Apache Kafka.

Key Confluent features:

Scalability Real-Time Data Processing Comprehensive Ecosystem Ease of Use

Open Source

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Key Apache Cassandra features:

Scalability High Availability Performance Flexible Data Model

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Key Databricks features:

Unified Data Analytics Platform Scalability Collaborative Environment Performance Optimization

Open Source

Ergonomics keyboards, mice, and foot pedals.

A fully managed data warehouse for large-scale data analytics.

Key Google BigQuery features:

Scalability Speed Integrations Automatic Optimization

Open Source

An easy to use, powerful, and reliable system to process and distribute data.

Key Apache NiFi features:

User-Friendly Interface Extensive Connector Support Real-time Data Processing Scalability

Open Source

Any Software Any Language Any Style.

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

Open Source

logstash is a tool for managing events and logs.

Key logstash features:

Flexible Data Collection Real-Time Processing Ecosystem Integration Built-In Plugins