Azure Data Factory is a powerful tool designed to efficiently manage and integrate data from various sources. Users find it valuable for its seamless integration with Azure services, ability to handle large data volumes, flexibility in data transformation, and user-friendly interface.
The tool has improved team performance, workflow, collaboration, and productivity by streamlining processes and enhancing communication.
Our licensing fees are approximately 15,000 ($150 USD) per month.
This is a cost-effective solution.
Our licensing fees are approximately 15,000 ($150 USD) per month.
This is a cost-effective solution.
Snowflake is a cloud-based data warehousing solution for storing and processing data, generating reports and dashboards, and as a BI reporting source. It is used for optimizing costs and using financial data, as well as for migrating data from on-premises to the cloud. The solution is often used as a centralized data warehouse, combining data from multiple sources.
Pricing can be confusing for customers.
You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.
Pricing can be confusing for customers.
You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.
Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.
The price of this solution could be improved.
The pricing is okay. You can pay as you go.
The price of this solution could be improved.
The pricing is okay. You can pay as you go.
SAP HANA, also known as SAP High-performance Analytics Appliance, is a multi-model database that stores data in its memory, allowing users to avoid disk storage. The product combines its robust database with services for creating applications. SAP HANA is faster than other database management systems (DBMS) because it stores data in column-based tables in main memory and brings online analytical processing (OLAP) and online transaction processing (OLTP) together.
It is expensive, which isn't a problem for us because SAP HANA is processing the data so fast.
SAP HANA is an expensive product.
It is expensive, which isn't a problem for us because SAP HANA is processing the data so fast.
SAP HANA is an expensive product.
Teradata is a multi-cloud data platform company that provides data warehouse and relational database tools. The brand has an extensive portfolio of big data analytic solutions, integrated marketing applications, and services. The products that Teradata offers can be categorized in the following ways:
Teradata is not cheap, but you get what you pay for.
The initial cost may seem high, but the TCO is low.
Teradata is not cheap, but you get what you pay for.
The initial cost may seem high, but the TCO is low.
Oracle Exadata allows enterprises to run any Oracle Database workload with the highest performance, scale, availability, and security on fully compatible cloud and on-premises infrastructure. Exadata uses a scale-out design with unique optimizations that include persistent memory, SQL query offload, and built-in resource management to optimize performance for OLTP, analytics, machine learning, and mixed workloads running in consolidated environments. By running hundreds or thousands of optimized Autonomous Database and Exadata Database instances on Exadata Cloud or Cloud@Customer infrastructure, customers are able to minimize their infrastructure, reduce management, improve developer productivity, and lower total costs by up to 40%, as described in Wikibon’s analysis (PDF).
The Initial investment price could use improvement
I think it's free.
The Initial investment price could use improvement
I think it's free.
Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory
Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera.
Spark is an open-source solution, so there are no licensing costs.
Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera.
Spark is an open-source solution, so there are no licensing costs.
What is Amazon Redshift?
If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift.
BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge.
If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift.
BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge.
VMware Tanzu is a robust data warehousing and analytical tool designed for large-scale data operations. It supports Business Intelligence (BI) applications and is frequently used for predictive analytics, making it ideal for forecasting trends and patterns. Additionally, it's a powerful tool for ETL (Extract, Transform, Load) processes, facilitating efficient data integration and preparation for analysis.
Key features praised by users include its scalability and performance, particularly for handling large datasets and complex queries. Its strong analytics capabilities enable sophisticated data analysis and reporting, while extensive support for parallel processing enhances speed and performance in managing data workloads. Greenplum's ability to integrate with various data sources and tools further adds to its utility in developing comprehensive data solutions.
Organizations that deploy VMware Tanzu report significant improvements in operational efficiency and team collaboration. The tool reduces task completion times, streamlines processes, and enhances workflow organization, leading to higher productivity and better project management outcomes.
This is an open source solution.
The pricing is okay.
This is an open source solution.
The pricing is okay.
AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.
AWS Lake Formation is a bit expensive.
AWS Lake Formation is a bit expensive.
There are no licensing costs involved, hence money is saved on the software infrastructure.
This is a low cost and powerful solution.
There are no licensing costs involved, hence money is saved on the software infrastructure.
This is a low cost and powerful solution.
Dremio is a data analytics platform that simplifies querying across multiple data sources without needing data replication. It integrates with existing data lakes, supports SQL, and offers features like optimized data reflections and robust security measures. With a flexible pricing model and strong support, Dremio is ideal for enhancing data analysis efficiency across various industries.
Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have.
Dremio is less costly competitively to Snowflake or any other tool.
Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have.
Dremio is less costly competitively to Snowflake or any other tool.
When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive.
The price could be better for the product.
When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive.
The price could be better for the product.
Pentaho is an open source business intelligence company that provides a wide range of tools to help their customers better manage their businesses. These tools include data integration software, mining tools, dashboard applications, online analytical processing options, and more.
Free and commercial versions are available.
We were lucky enough to find a Pentaho OEM partner who offered a data warehouse model and the ETL software for about 60K SGD per year.
Free and commercial versions are available.
We were lucky enough to find a Pentaho OEM partner who offered a data warehouse model and the ETL software for about 60K SGD per year.
Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform). Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance.
The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs.
There is a need for my company to pay for the licensing costs of the solution.
The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs.
There is a need for my company to pay for the licensing costs of the solution.
The solution is open-sourced and free.
There is no license or subscription for this solution.
The solution is open-sourced and free.
There is no license or subscription for this solution.
The Hortonworks Data Platform (HDP) is widely used for managing and analyzing big data across various organizations. Key applications include optimizing data storage through its scalable structure, essential for handling significant data volumes effectively. It also enables advanced analytics by facilitating complex data processing, thereby enhancing decision-making with deeper insights. HDP excels in processing both streaming and batch data and supports the creation and management of robust data lakes, which are crucial for data governance and compliance.
Key features appreciated by users include its efficient large-volume data handling and robust data processing capabilities, powered by the Hadoop ecosystem. Users also value its scalability, advanced security features ensuring data protection, and compatibility with various analytics and management tools, allowing seamless integration with existing systems.
It is priced well and it is affordable
Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results.
It is priced well and it is affordable
Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results.
Informatica Big Data Parser enables access to the most difficult data and file formats in Hadoop, reducing the time and cost of developing data handlers by 70 percent. It enables IT organizations to efficiently manage industry standards, binary documents, and hierarchical data.
IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of compute notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms.