dashDB Local Description
DashDB Local is the newest edition of the IBM dashDB family. It provides organizations with the most flexible architecture to lower the cost of analytics in the dynamic worlds of big data and cloud. How is this possible? Analytics workloads can be easily moved and optimized by a common engine with different deployment options across public and private clouds. DashDB Local is an option if you prefer to deploy on a hosted private clouds or on-premises private clouds through a software defined infrastructure. DashDB Local is easy to deploy and manage from an IT perspective. It uses container technology with elastic scaling and simple maintenance. DashDB Local is user-friendly. It provides the speed to cycle through data acquisition, apply the right analytics to meet a particular use case, and then operationalizes the insights.
dashDB Local Alternatives
VeloDB
VeloDB, powered by Apache Doris is a modern database for real-time analytics at scale.
In seconds, micro-batch data can be ingested using a push-based system. Storage engine with upserts, appends and pre-aggregations in real-time. Unmatched performance in real-time data service and interactive ad hoc queries.
Not only structured data, but also semi-structured. Not only real-time analytics, but also batch processing. Not only run queries against internal data, but also work as an federated query engine to access external databases and data lakes.
Distributed design to support linear scalability. Resource usage can be adjusted flexibly to meet workload requirements, whether on-premise or cloud deployment, separation or integration.
Apache Doris is fully compatible and built on this open source software. Support MySQL functions, protocol, and SQL to allow easy integration with other tools.
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IBM Db2 Warehouse
IBM®, Db2®, Warehouse is a client-managed preconfigured data warehouse that runs on private clouds, virtual private cloud, and other container-supported infrastructures. It is the ideal hybrid cloud solution for those who need to retain control over their data, but still want cloud-like flexibility. Db2 Warehouse allows you to bring AI into your business faster and more easily with built-in machine-learning, automated scaling, and built-in analytics. You can deploy a pre-configured data store in minutes on any supported infrastructure. Elastic scaling allows for easy updates and upgrades. Enterprise AI can operate faster and more efficiently by applying in-database analytics to the data. Your application can be written once and moved to the correct location -- public cloud, private cloud, or on-premises -- with minimal changes.
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Amazon Redshift
Amazon Redshift is preferred by more customers than any other cloud data storage. Redshift powers analytic workloads for Fortune 500 companies and startups, as well as everything in between. Redshift has helped Lyft grow from a startup to multi-billion-dollar enterprises. It's easier than any other data warehouse to gain new insights from all of your data. Redshift allows you to query petabytes (or more) of structured and semi-structured information across your operational database, data warehouse, and data lake using standard SQL. Redshift allows you to save your queries to your S3 database using open formats such as Apache Parquet. This allows you to further analyze other analytics services like Amazon EMR and Amazon Athena. Redshift is the fastest cloud data warehouse in the world and it gets faster each year. The new RA3 instances can be used for performance-intensive workloads to achieve up to 3x the performance compared to any cloud data warehouse.
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Databend
Databend is an agile, cloud-native, modern data warehouse that delivers high-performance analytics at a low cost for large-scale data processing. It has an elastic architecture which scales dynamically in order to meet the needs of different workloads. This ensures efficient resource utilization and lower operating costs. Databend, written in Rust offers exceptional performance thanks to features such as vectorized query execution, columnar storage and optimized data retrieval and processing speed. Its cloud-first approach allows for seamless integration with cloud platforms and emphasizes reliability, consistency of data, and fault tolerance. Databend is a free and open-source solution that makes it an accessible and flexible choice for data teams who want to handle big data analysis in the cloud.
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Integrations
Company Details
Company:
IBM
Year Founded:
1911
Headquarters:
United States
Website:
www-01.ibm.com/common/ssi/cgi-bin/ssialias
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dashDB Local Features and Options
Data Warehouse Software
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
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