Apache Kudu is a distributed data storage engine that makes fast analytics on fast and changing data easy.
Kudu runs on commodity hardware, is horizontally scalable, and supports highly available operation.
This is free and open source software.
Key Features
- Fast processing of OLAP workloads.
- Strong but flexible consistency model, allowing you to choose consistency requirements on a per-request basis, including the option for strict-serializable consistency.
- Structured data model.
- Strong performance for running sequential and random workloads simultaneously.
- Tight integration with Apache Impala, making it a good, mutable alternative to using HDFS with Apache Parquet.
- Integration with Apache NiFi and Apache Spark.
- Integration with Hive Metastore (HMS) and Apache Ranger to provide fine-grain authorization and access control.
- Authenticated and encrypted RPC communication.
- High availability: Tablet Servers and Masters use the Raft Consensus Algorithm, which ensures that as long as more than half the total number of tablet replicas is available, the tablet is available for reads and writes. For instance, if 2 out of 3 replicas (or 3 out of 5 replicas, etc.) are available, the tablet is available. Reads can be serviced by read-only follower tablet replicas, even in the event of a leader replica’s failure.
- Automatic fault detection and self-healing: to keep data highly available, the system detects failed tablet replicas and re-replicates data from available ones, so failed replicas are automatically replaced when enough Tablet Servers are available in the cluster.
- Location awareness (a.k.a. rack awareness) to keep the system available in case of correlated failures and allowing Kudu clusters to span over multiple availability zones.
- Logical backup (full and incremental) and restore.
- Multi-row transactions (only for INSERT/INSERT_IGNORE operations as of Kudu 1.15 release).
- Easy to administer and manage.
- Cross-platform support – runs under Linux and macOS.
Website: kudu.apache.org
Support:
Developer: The Apache Software Foundation
License: Apache License 2.0
Kudu is written in C++. Learn C++ with our recommended free books and free tutorials.
Related Software
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|---|---|
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| Databend | Cloud data warehouse |
| ClickHouse | Real-time analytics database management system |
| InfluxDB Core | Scalable datastore for metrics, events, and real-time analytics |
| Doris | Modern data warehouse for real-time analytics |
| VictoriaMetrics | Scalable solution for monitoring and managing time series data |
| StarRocks | High-performance analytical database |
| MonetDB | High performance relational database system for analytics |
| Kudu | Distributed data storage engine |
| QuestDB | High-performance time-series database |
| Pinot | Real-time analytics platform |
| IoTDB | High-performance time-series database |
| GreptimeDB | Cloud-native database |
| CrateDB | Distributed SQL database management |
Read our verdict in the software roundup.
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