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See why Teradata is the world's leading provider of business analytics solutions, data and analytics solutions, and hybrid cloud products and services.
Teradata is one of the most popular Relational Database Management System (RDBMS) developed by the company named Teradata itself.
#Databases #NoSQL Databases #Relational Databases
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Netezza is a powerful platform that changed the world of data warehousing by introducing one of the world’ first data warehouse appliances.
The Netezza Performance Server data warehouse system includes SQL that is known as IBM Netezza Structured Query Language (SQL). We can use SQL commands to create and manage the Netezza databases, user access, and permissions for the database. It can also be used to query and modify the contents of the databases.
#Databases #Big Data #NoSQL Databases
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See how the Oracle Database Exadata Cloud is engineered to be the highest performing and most available platform for running the Oracle Database.
#Databases #Cloud Storage #Cloud Computing
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SAP HANA is an in-memory, column-oriented, relational database management system.
SAP High-Performance ANalytical Appliance (SAP HANA) is an in-memory database developed by SAP. Its primary function as a database server is to store and retrieve data. It is used to analyze the large datasets on a real-time basis that are present entirely in its memory.
#Databases #Relational Databases #Tool
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MongoDB (from "humongous") is a scalable, high-performance NoSQL database.Pricing:
- Open Source
The database added a new feature to its list of attributes called MongoDB Atlas. It is a global cloud database technology that allows to deploy a fully managed MongoDB across AWS, Google Cloud, and Azure with its built-in automation for resource, workload optimization and to reduce the time required to handle the database.
#NoSQL Databases #Databases #Document Databases 15 social mentions
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The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
#Databases #NoSQL Databases #Relational Databases 41 social mentions
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Oracle NoSQL Database is a distributed, highly performant, highly available scalable key-value database.
#Databases #NoSQL Databases #Relational Databases
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HTTP + JSON document database with Map Reduce views and peer-based replicationPricing:
- Open Source
The prominent big data analytics tools that use non-relational databases are MongoDB, Cassandra, Oracle No-SQL, and Apache CouchDB. We’ll dive into each one of these and cover their respective features.
#Databases #NoSQL Databases #Relational Databases 16 social mentions
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Open-source software for reliable, scalable, distributed computingPricing:
- Open Source
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
#Databases #NoSQL Databases #Big Data 15 social mentions
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Spark helps you take your inbox under control. Instantly see what’s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleaguesPricing:
- Open Source
Apache Spark is the best-distributed storage and processing tool available as it is the lightning-fast unified analytics engine for both data processing and machine learning. Its USP is can process the data and also applying AI algorithms to the data. It also speeds up the Hadoop computational computing software process. One of the main concerns with Hadoop is to maintain the speed in processing the large datasets in terms of waiting time between queries and waiting time to run the program. This is taken care of by Spark.
#Email #Email Clients #Calendar 30 social mentions
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Snowflake Computing is delivering a data warehouse for the cloud.Pricing:
- Open Source
Snowflake is a cloud-based data-warehousing system. It is the only data platform built for the cloud. It offers a cloud-based data storage and analytics service, provided as a Software-as-a-service (SaaS).
#Databases #Data Warehousing #Relational Databases
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Apache Storm is a free and open source distributed realtime computation system.Pricing:
- Open Source
#Big Data #Data Management #Databases 11 social mentions
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Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
The collected data can be easily integrated with the Amazon family of big data services in storage (Amazon S3), Amazon DynamoDB (the No-SQL database for unstructured data), and Amazon RedShift (data warehouse product).
#Cloud Hosting #Object Storage #Cloud Storage 171 social mentions
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Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Amazon Kinesis is a massively scalable, cloud-based analytics service which is designed for real-time applications.
#Stream Processing #Data Management #Analytics 23 social mentions
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A fully managed data warehouse for large-scale data analytics.Pricing:
- Open Source
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.
#Data Management #Data Warehousing #Data Dashboard 35 social mentions
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Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.
Using Azure HDInsights, we can deploy Hadoop in the cloud without purchasing new hardware or paying other up-front costs.
#Data Dashboard #Big Data #Data Warehousing
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Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
#Machine Learning #AI #Technical Computing
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Discover an all-inclusive BI solution for faster, more reliable data prep and reporting.
IBM Cloud is a set of cloud computing services from IBM. It combines the Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). It offers over 190 cloud services. IBM’s popular AI cloud platforms are Watson Analytics and Cognos Analytics. IBM Watson delivers services such as machine learning, natural language processing (NLP), and visual recognition.
#Analytics #Web Analytics #Mobile Analytics
Discuss: 16 Top Big Data Analytics Tools You Should Know About
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