Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Apache Doris serves as a cutting-edge data warehouse tailored for real-time analytics, enabling exceptionally rapid analysis of data at scale.
It features both push-based micro-batch and pull-based streaming data ingestion that occurs within a second, alongside a storage engine capable of real-time upserts, appends, and pre-aggregation.
With its columnar storage architecture, MPP design, cost-based query optimization, and vectorized execution engine, it is optimized for handling high-concurrency and high-throughput queries efficiently.
Moreover, it allows for federated querying across various data lakes, including Hive, Iceberg, and Hudi, as well as relational databases such as MySQL and PostgreSQL.
Doris supports complex data types like Array, Map, and JSON, and includes a Variant data type that facilitates automatic inference for JSON structures, along with advanced text search capabilities through NGram bloomfilters and inverted indexes.
Its distributed architecture ensures linear scalability and incorporates workload isolation and tiered storage to enhance resource management.
Additionally, it accommodates both shared-nothing clusters and the separation of storage from compute resources, providing flexibility in deployment and management.
Description
OLake Fusion is an application designed for self-hosting that focuses on the management of Apache Iceberg tables within data lakehouses. This tool automates the process of scheduled table compaction, effectively merging smaller data files and transforming delete files to enhance the overall layout of tables as data is consistently added, modified, or removed. Users have the ability to set maintenance schedules at the individual table level, choosing from compaction tiers labeled Lite, Medium, and Full, while also being able to assess table health, file metrics, and monitor maintenance activities and logs via an intuitive web interface. Additionally, Fusion integrates seamlessly with various Iceberg catalogs, such as AWS Glue, Hive Metastore, JDBC, and REST-based catalog systems like Nessie, Polaris, Unity Catalog, and Lakekeeper, allowing it to manage tables that were created externally to OLake. Deployment options include Docker or Kubernetes, making it suitable for a team’s cloud infrastructure or on-premises setup. This tool is particularly beneficial for data engineers and platform teams who are managing analytical lakehouses that utilize Apache Iceberg, ensuring efficient data handling within their environments. The flexibility and robustness of OLake Fusion make it an essential asset for modern data management practices.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Hive
Yes
AWS Glue
No
Apache Flink
Yes
Apache Hudi
Yes
Apache Iceberg
No
Apache Spark
Yes
Baidu Palo
Yes
MySQL
Yes
OLake Go
No
OpenMetadata
Yes
Integrations
Apache Hive
Yes
AWS Glue
Yes
Apache Flink
No
Apache Hudi
No
Apache Iceberg
Yes
Apache Spark
No
Baidu Palo
No
MySQL
No
OLake Go
Yes
OpenMetadata
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
$0
The open-source software has no license charge; customers pay for the compute and storage they provision.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
doris.apache.org
Vendor Details
Company Name
Datazip
Country
United States
Website
olake.io/olake-fusion/
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No