Apache DorisThe Apache Software Foundation
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Related Products
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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.
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About
Serverless, interactive querying for analyzing data in IBM Cloud Object Storage. Query your data directly where it is stored, there's no ETL, no databases, and no infrastructure to manage. IBM Cloud SQL Query uses Apache Spark, an open-source, fast, extensible, in-memory data processing engine optimized for low latency and ad hoc analysis of data. No ETL or schema definition needed to enable SQL queries. Analyze data where it sits in IBM Cloud Object Storage using our query editor and REST API. Run as many queries as you need; with pay-per-query pricing, you pay only for the data scan. Compress or partition data to drive savings and performance. IBM Cloud SQL Query is highly available and executes queries using compute resources across multiple facilities. IBM Cloud SQL Query supports a variety of data formats such as CSV, JSON and Parquet, and allows for standard ANSI SQL.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers interested in an open source, real-time data warehouse
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Audience
All types of businesses and organizations requiring a solution to query their data directly where it is stored
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Open source
Free Version
Supported
Free Trial
Not Supported
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Pricing
$5.00/Terabyte-Month
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
doris.apache.org
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/cloud/sql-query
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Alternatives |
Alternatives |
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Categories |
Categories |
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Relational Database Features
ACID Compliance
Supported
Data Failure Recovery
Supported
Multi-Platform
Supported
Referential Integrity
Supported
SQL DDL Support
Supported
SQL DML Support
Supported
System Catalog
Supported
Unicode Support
Supported
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Integrations
Apache Spark
Supported
Apache Flink
Supported
Apache Hive
Supported
Apache Hudi
Supported
Autymate
Not Supported
Baidu Palo
Supported
Data Sentinel
Not Supported
IBM Cloud Object Storage
Not Supported
Lyftrondata
Not Supported
MySQL
Supported
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Integrations
Apache Spark
Supported
Apache Flink
Not Supported
Apache Hive
Not Supported
Apache Hudi
Not Supported
Autymate
Supported
Baidu Palo
Not Supported
Data Sentinel
Supported
IBM Cloud Object Storage
Supported
Lyftrondata
Supported
MySQL
Not Supported
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