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
Condense, developed by Zeliot, is a comprehensive real-time data streaming solution that integrates fully managed Apache Kafka with all necessary components to create and operate event-driven applications seamlessly. By providing a unified platform, teams can avoid the hassle of integrating multiple tools, as Condense offers managed Kafka clusters, customizable transforms, deployment pipelines, and monitoring capabilities, all securely hosted within their chosen cloud environment (AWS, Azure, or GCP) to ensure data remains protected. Additionally, Condense features Vapr, an autonomous AI supervisor designed to manage specialized agents for tasks related to Kafka, Kubernetes, Grafana, and coding, significantly reducing the operational burden associated with maintaining streaming infrastructure. Proven in demanding production settings, Condense effectively supports various industries such as connected vehicle platforms, automotive OEM telematics, electric vehicle fleets, logistics, travel and hospitality, healthcare, and fintech, processing billions of events daily and showcasing its reliability and efficiency across diverse applications. The platform's ability to streamline event-driven processes while ensuring security makes it an invaluable asset for organizations aiming to harness real-time data effectively.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Apache Flink
Yes
Apache Hive
Yes
Apache Hudi
Yes
Apache Spark
Yes
Baidu Palo
Yes
MySQL
Yes
OpenMetadata
Yes
PostgreSQL
Yes
SelectDB
Yes
TapData
Yes
Integrations
Apache Flink
No
Apache Hive
No
Apache Hudi
No
Apache Spark
No
Baidu Palo
No
MySQL
No
OpenMetadata
No
PostgreSQL
No
SelectDB
No
TapData
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
$40/month
Free Trial
Yes
Free Version
No
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
Yes
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
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
doris.apache.org
Vendor Details
Company Name
Zeliot
Founded
2018
Country
India
Website
www.zeliot.in
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