| About
            Apache Doris is a modern data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale.
Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation.
Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine.
Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL.
Compound data types such as Array, Map and JSON. Variant data type to support auto data type inference of JSON data. NGram bloomfilter and inverted index for text searches.
Distributed design for linear scalability. Workload isolation and tiered storage for efficient resource management. Supports shared-nothing clusters as well as separation of storage and compute.
             | About
            Databend is a modern, cloud-native data warehouse built to deliver high-performance, cost-efficient analytics for large-scale data processing. It is designed with an elastic architecture that scales dynamically to meet the demands of different workloads, ensuring efficient resource utilization and lower operational costs. Written in Rust, Databend offers exceptional performance through features like vectorized query execution and columnar storage, which optimize data retrieval and processing speeds. Its cloud-first design enables seamless integration with cloud platforms, and it emphasizes reliability, data consistency, and fault tolerance. Databend is an open source solution, making it a flexible and accessible choice for data teams looking to handle big data analytics in the cloud.
             | About
            StarTree, powered by Apache Pinot™, is a fully managed real-time analytics platform built for customer-facing applications that demand instant insights on the freshest data. Unlike traditional data warehouses or OLTP databases—optimized for back-office reporting or transactions—StarTree is engineered for real-time OLAP at true scale, meaning:
- Data Volume: query performance sustained at petabyte scale
- Ingest Rates: millions of events per second, continuously indexed for freshness
- Concurrency: thousands to millions of simultaneous users served with sub-second latency
With StarTree, businesses deliver always-fresh insights at interactive speed, enabling applications that personalize, monitor, and act in real time.
             | About
            Simple, fast, safe, and compiled. For developing maintainable software. Simple language for building maintainable programs. You can learn the entire language by going through the documentation over a weekend, and in most cases, there's only one way to do something. This results in simple, readable, and maintainable code. This results in simple, readable, and maintainable code. Despite being simple, V gives a lot of power to the developer and can be used in pretty much every field, including systems programming, webdev, gamedev, GUI, mobile, science, embedded, tooling, etc. V is very similar to Go. If you know Go, you already know 80% of V. Bounds checking, No undefined values, no variable shadowing, immutable variables by default, immutable structs by default, option/result and mandatory error checks, sum types, generics, and immutable function args by default, mutable args have to be marked on call. 
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| Platforms Supported
            
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         | Platforms Supported
            
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                Linux
            
            
         
            
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                iPhone
            
            
         
            
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                Android
            
            
         
            
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         | Platforms Supported
            
                Windows
            
            
         
            
                Mac
            
            
         
            
                Linux
            
            
         
            
                Cloud
            
            
         
            
                On-Premises
            
            
         
            
                iPhone
            
            
         
            
                iPad
            
            
         
            
                Android
            
            
         
            
                Chromebook
            
            
         | Platforms Supported
            
                Windows
            
            
         
            
                Mac
            
            
         
            
                Linux
            
            
         
            
                Cloud
            
            
         
            
                On-Premises
            
            
         
            
                iPhone
            
            
         
            
                iPad
            
            
         
            
                Android
            
            
         
            
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| Audience
        Developers interested in an open source, real-time data warehouse
         | Audience
        Organizations searching for an open source cloud data warehouse
         | Audience
        Companies with up to petabytes of data needing to run high queries-per-second (QPS) workloads
         | Audience
        Developers interested in a language for building maintainable programs
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| Company InformationThe Apache Software Foundation Founded: 1999 United States doris.apache.org | Company InformationDatabend Founded: 2021 Singapore databend.rs/ | Company InformationStarTree Founded: 2019 United States www.startree.ai | Company InformationV Programming Language United States vlang.io | |||
| Alternatives | Alternatives | Alternatives | Alternatives | |||
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| Categories | Categories | Categories | Categories | |||
| Big Data Features
            
                Collaboration
            
            
         
            
                Data Blends
            
            
         
            
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| Integrations
            
                
    Amazon Kinesis
            
            
         
            
                
    Amazon Redshift
            
            
         
            
                
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    Apache Flink
            
            
         
            
                
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    Databricks Data Intelligence Platform
            
            
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    Amazon Kinesis
            
            
         
            
                
    Amazon Redshift
            
            
         
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    Apache Flink
            
            
         
            
                
    Apache Hive
            
            
         
            
                
    Apache Kafka
            
            
         
            
                
    Apache Pulsar
            
            
         
            
                
    Baidu Palo
            
            
         
            
                
    C
            
            
         
            
                
    Databricks Data Intelligence Platform
            
            
         | Integrations
            
                
    Amazon Kinesis
            
            
         
            
                
    Amazon Redshift
            
            
         
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    Apache Flink
            
            
         
            
                
    Apache Hive
            
            
         
            
                
    Apache Kafka
            
            
         
            
                
    Apache Pulsar
            
            
         
            
                
    Baidu Palo
            
            
         
            
                
    C
            
            
         
            
                
    Databricks Data Intelligence Platform
            
            
         | Integrations
            
                
    Amazon Kinesis
            
            
         
            
                
    Amazon Redshift
            
            
         
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    Apache Flink
            
            
         
            
                
    Apache Hive
            
            
         
            
                
    Apache Kafka
            
            
         
            
                
    Apache Pulsar
            
            
         
            
                
    Baidu Palo
            
            
         
            
                
    C
            
            
         
            
                
    Databricks Data Intelligence Platform
            
            
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