Software Alternatives, Accelerators & Startups

Timeplus

An innovative streaming SQL database and real-time analytics platform. Fast, powerful and intuitive.

Some of the top features or benefits of Timeplus are: Unified streaming and historical data process, Tumble, hopping, session window, Materialized views, and Realtime charts, dashboards, alerts. You can visit the info page to learn more.

Pricing:
Platforms:
  • AWS
  • Linux
Timeplus

Timeplus Alternatives & Competitors

The best Timeplus alternatives based on verified products, community votes, reviews and other factors.
Filter: 3 Open-Source Alternatives. EU Alternatives. Latest update:

  1. A Streaming Database for Real-Time Applications.

    Key Materialize features:

    Real-time Analytics SQL Support Consistency Integration with Kafka

    Open Source

    /materialize-alternatives
  2. 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

    /apache-flink-alternatives
  3. Generate professional standard operating procedures in minutes. AI-powered SOP creation built on 10,000+ industry procedures.

    Key WorkProcedures features:

    SOP Generation SOP Library Handbooks Reading Room

    Try for free freemium ยฃ79.99 / Monthly (50 SOPs, Export PDF/Word, Library, Handbooks)

    Try for free
  4. Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafkaยฎ.

    Key KSQL features:

    Real-Time Stream Processing SQL-Like Syntax Integration with Kafka Scalability

    /ksql-alternatives
  5. RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.

    Open Source

    /risingwave-alternatives
  6. 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

    /apache-spark-alternatives
  7. 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

    /azure-stream-analytics-alternatives
  8. Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

    Key Amazon Kinesis features:

    Real-time data processing Scalability Fully managed service Integration with AWS ecosystem

    /amazon-kinesis-alternatives
  9. 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

    /splunk-alternatives
  10. Ilum is a free data lakehouse platform designed for scalability, flexibility, and simplicity.

    Key Ilum features:

    Real-time analytics Data visualization

    freemium

    /ilum-alternatives
  11. 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

    /google-cloud-dataflow-alternatives
  12. Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...

    Open Source

    /disco-mapreduce-alternatives
  13. StreamSets provides Continuous Ingest technology for the next generation of big data applications.

    Key StreamSets features:

    User-Friendly Interface Real-Time Data Processing Comprehensive Connectors Data Drift Management

    /streamsets-alternatives
  14. Apache Storm is a free and open source distributed realtime computation system.

    Key Apache Storm features:

    Real-Time Processing Scalability Fault Tolerance Broad Language Support

    Open Source

    /apache-storm-alternatives
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