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Arrow Flight SQL in Apache Doris for 10X faster data transfer
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Arrow Flight SQL in Apache Doris for 10X faster data transfer

Apache Doris 2.1 supports Arrow Flight SQL protocol for reading data from Doris. It delivers tens-fold speedups compared to PyMySQL and Pandas.

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Apache Doris 2.1.2 just released
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Apache Doris 2.1.2 just released

Dear community, Apache Doris 2.1.2 has been officially released on April 12, 2024. This version submits several enhancements and bug fixes to further improve the performance and stability.

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Auto-increment columns in databases: a simple magic that makes a big difference
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Auto-increment columns in databases: a simple magic that makes a big difference

Auto-increment columns in Apache Doris accelerates dictionary encoding and pagination without damaging data writing performance. This is an introduction to its usage, applicable scenarios, and implementation details.

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Variant in Apache Doris 2.1.0: a new data type 8 times faster than JSON for semi-structured data analysis
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Variant in Apache Doris 2.1.0: a new data type 8 times faster than JSON for semi-structured data analysis

Doris 2.1.0 provides a new data type: Variant, for semi-structured data analysis, which enables 8 times faster query performance than JSON with one-third storage space.

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What is Apache Doris

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Core capabilities

Real-time ingestion and storage
Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation.
Lightning-fast query
Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine.
Federated querying
Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL.
Semi-structured data
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.
Elastic architecture
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.
Open ecosystem
Compatible with MySQL protocol and ANSI SQL, easily integrated with BI tools. Provide open data API to be accessible for external compute engines like Spark, Flink and ML/AI.

Unified data warehouse

for various analytics use cases

From traditional batch reporting to real-time reporting and dashboards. From internal-facing analytics like traditional BI to customer-facing analytics. From decision support analytics to algorithm-driven real-time decision-making.
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