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.
Microsoft Azure Synapse Analytics is built with these 4 components:
- Synapse SQL
- Spark
- Synapse Pipeline
- Studio
Microsoft Azure Synapse Analytics Features
Microsoft Azure Synapse Analytics has many valuable key features, including:
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Cloud Data Service: WIth Microsoft Azure Synapse Analytics you can operate services (data analytics, machine learning, data warehousing, dashboarding, etc.) in a single workspace via the cloud.
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Structured and unstructured data: Microsoft Azure Synapse Analytics supports both structured and unstructured data and allows you to manage relational and non-relational data - unlike data warehouses and lakes that tend to store them respectively.
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Effective data storage: Microsoft Azure Synapse Analytics offers next-level data storage with high availability and different tiers.
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Responsive data engine: Microsoft Azure Synapse Analytics uses Massive Parallel Processing (MPP) and is designed to handle large volumes of data and analytical workloads efficiently without any problems.
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Several scripting languages: The solution provides language compatibility and supports different programming languages, such as Python, Java, Spark SQL, and Scala.
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Query optimization: Microsoft Azure Synapse Analytics works well to facilitate limitless concurrency and performance optimization. It also simplifies workload management.
Microsoft Azure Synapse Analytics Benefits
Some of the benefits of using Microsoft Azure Synapse Analytics include:
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Database templates: Microsoft Azure Synapse Analytics offers industry-specific database templates that make it easy to combine and shape data.
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Better business insights: With Microsoft Azure Synapse Analytics you can expand discovery of insights from all your data and apply machine learning models to all your intelligent apps.
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Reduce project development time: Microsoft Azure Synapse Analytics makes it possible to have a unified experience for developing end-to-end analytics, which reduces project development time significantly.
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Eliminate data barriers: By using Microsoft Azure Synapse Analytics, you can perform analytics on operational and business apps data without data movement.
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Advanced security: Microsoft Azure Synapse Analytics provides both advanced security and privacy features to ensure data protection.
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Machine Learning: Microsoft Azure Synapse Analytics integrates Azure Machine Learning, Azure Cognitive Services, and Power BI.
Reviews from Real Users
Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.
PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."
Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."
A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."
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:
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Software: The products in this category include Teradata Vantage, an advanced SQL engine and Teradata database.
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Cloud: The solutions can work with popular cloud services such as Amazon AWS, Microsoft Azure, Google Cloud Platform, and VMware. Teradata Cloud and customer cloud are also included in this product category.
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Ecosystem management: The products in this section include IntelliSphere, business continuity manager, data lab, data mover, data stream, QueryGrid, and viewpoint.
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Hardware: This category includes backup, archive, and restore (BAR) and IntelliFlex.
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Applications: Master data management (MDM) and Teradata analytics for enterprise applications are the two products in this category.
One of the most popular and commonly used products by Teradata is Teradata Vantage. This is a connected multi-cloud data platform for enterprise analytics. The product unifies data lakes, analytics, and data warehouses, as well as data sources and types. The solution offers its customers scalability, which allows them to scale dimensions to handle massive workloads of data. Teradata Vantage utilizes artificial intelligence (AI) and machine learning (ML) to power more models and enhance quality.
Through Vantage Console, businesses can benefit from role-based, no-code software to organize and manage their data. The product offers deployment on many popular public clouds, on premises, and on commodity hardware. Teradata Vantage unifies and integrates all data types from sources and provides companies with a single source of information. It achieves this by supporting all common data types and formats. The product also provides organizations with tools for monitoring, analyzing, and connecting data throughout the organizations.
Part of this product is also VantageCloud, which offers a modern cloud-native architecture as well as hybrid and multi-cloud deployment options. This solution offers new ways for clients to deploy their platforms. These include the next-generation, cloud-native architecture of Teradata VantageCloud Lake.
Teradata Features
The different products that Teradata offers have various features which facilitate data management for customers. Some of the key capabilities of the solutions offered by Teradata include:
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Connectivity: Users can benefit from connections to the mainframe or network-attached systems. The product provides its own extension for interaction with data stored in the tables. It also supports SQL.
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Linear scalability: Teradata solutions are highly scalable and linear. The solution can handle large volumes of data effectively while also supporting the ability to scale up to 2048 nodes.
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Load and unload utilities: The product offers features to move data in and out of the product's system effectively.
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Mature optimizer: Part of this feature is Teradata Optimizer, which is an advanced product that can handle up to 64 joins in a single query.
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Robust utilities: The solution includes multiple robust utilities in this category of features that facilitate data handling in and out of the product's systems. The tools include MultiLoad, FastLoad, and FastExport.
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Shared nothing architecture: This set of features, connected to the architecture of Teradata, is known as “shared nothing architecture” because the nodes, processors, and disks all work independently. These capacities ensure better value for a given task.
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Unlimited parallelism: These features divide large volumes of data into smaller processes that are executed in parallel. This contributes to the execution of complex tasks in a timely manner.
Teradata Benefits
Through its multiple solutions, Teradata offers various benefits for its clients. Some of these include:
- The solution facilitates prototype creation and offers faster times for completion.
- Through Teradata, users are able to use faster, simpler, and easier solutions for data-related tasks.
- The product eliminates the need for unnecessary data movement, which contributes to performance improvements.
- Teradata offers developers the ability to decide where in the architecture different parts of an application run.
- Teradata allows database administrators to manage databases from a single point of control.
- The solution provides the option to get the same data on multiple deployment options.
- The product supports Online Analytical Programming (OLAP) functions, which allows it to perform a complex analytical process of data.
- Teradata uses the Service Workstation to provide a single operation view for the multi-node system of the product.
Reviews from Real Users
Martin P., a services manager at Bytes Systems Integration, describes Teradata as a product that is very fast with good database control and excellent support.
Blaine V., principal at Insight Data Consulting, rates Teradata highly because of its excellent native features, highly stable, and impressive automation.
