Popular NoSQL technologies
NoSQL databases originally refer to “non-SQL” or “non-relational” databases. These databases provide users with a mechanism for storing and retrieving data that is modeled differently compared to the tabular relations used in relational databases. NoSQL databases are also sometimes called “Not Only SQL” to emphasize that they may support SQL-like query languages.
NoSQL databases emerged on the market in the late 2000s to address the limitations of SQL databases and to cope with the scale and agility challenges that modern applications usually face. The applications can even modify the schema of a NoSQL database on-demand by adding new fields dynamically to fit your data.
You can use NoSQL databases to store data of any size and type: structured, semi-structured, and unstructured data. As we mention different types of stored data, we should also admit the different types of NoSQL databases. They include document, graph, key-value, and wide-column stores.
The ABCloudZ roots go deep into the world of data, so our developers, engineers, and architects know it all about the most popular NoSQL databases like MongoDB and Apache Cassandra. What’s even more important is that we know the specifics of all of the NoSQL database types and can help you choose the best solution for your needs.
Take advantage of a flexible and scalable document database which has the querying and indexing capabilities that you need. See how ABCloudZ experts can help you deploy a MongoDB cluster in a short period of time.
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Discover how ABCloudZ can help you manage your NoSQL databases to perfection.
AWS NoSQL technologies
With all modern solutions moving towards the cloud, you may want to consider a cloud path for your NoSQL database. As the leader of cloud services, AWS provides users with a rich variety of choices of deployment options. You can opt for using a fast and flexible Amazon DynamoDB database service or even run your existing NoSQL system in the Amazon cloud.
ABCloudZ has hands-on experience with AWS SCT data extraction agent for migrating Cassandra to DynamoDB. Our exclusive AWS Database Migration Service support offer can help you seamlessly move your existing relational and non-relational database workloads to the Amazon cloud.
Leverage the flexibility, speed, and scale of Amazon's NoSQL database service. See how ABCloudZ can help you create the perfect Amazon DynamoDB solution based on your specific business needs.
Learn how ABCloudZ can help you analyze data in Amazon S3 by getting the most out of interactive server-less AWS Athena query service.
ABCloudZ can guide your business to run and scale Apache Hadoop, Spark, HBase, Presto, Hive, and other Big Data Frameworks in the Amazon cloud leveraging Amazon EMR service.
Learn how ABCloudZ can help you collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information with Amazon Kinesis.
Configuring Amazon Data Pipeline web service, you can process the data that was locked up in on-premises storages and then efficiently transfer the results to different AWS services.
Microsoft NoSQL technologies
Likewise, Microsoft also offers rich support for NoSQL databases. You can take advantage of the globally distributed, truly polyglot Azure Cosmos DB service, which provides native support for all four key NoSQL data models.
Discover how ABCloudZ can help you create your own NoSQL success story leveraging Microsoft’s cloud data platform. With our unprecedented experience with Azure cloud, you can trust us to deliver!
Azure Cosmos DB
Take advantage of the globally distributed, truly polyglot Azure Cosmos DB service to fit your business needs. Learn how ABCloudZ can help you build an ultimate solution on this cloud platform.
Azure Data Factory
Perfectly orchestrate the transformation of your data and provide a wide range of analytical services with ABCloudZ, powered by Azure Data Factory.
Azure Data Lake
Discover how ABCloudZ can help your business utilize Microsoft's no-limits data lake to store and analyze petabyte-size files and trillions of objects and power your intelligent applications.
Learn how ABCloudZ can help you unlock insights from all your data and build artificial intelligence (AI) solutions with fast and easy Azure Databricks analytics service.
Learn how ABCloudZ can help you take advantage of Microsoft's managed open source Big Data analytics service for enterprise-scale businesses.
Google Cloud Platform NoSQL technologies
You can also consider Google Cloud Platform as your destination for the NoSQL data storage. Particularly, Google provides users with Cloud Memorystore, a fully-managed in-memory data store service for Redis. In addition to that, you can opt for using Google Firestore as well as multiple related services to manage data and create cloud applications.
Google Cloud Big Data
See how ABCloudZ can empower your business with Google Cloud Big Data and analytics services, creating immediate value for your business intelligence capabilities.
Google Cloud Dataproc
Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Learn how we can help you with your analytic solutions as part of your data strategy.
Google Cloud Firestore
Get the most out of the fast, fully managed, serverless, cloud-native NoSQL document database for your mobile, web, and IoT applications. Choose ABCloudZ to create a Google Cloud Firestore solution for your business.
Google Cloud Dataprep
Learn how ABCloudZ can leverage an intelligent cloud data service to visually explore, clean, and prepare data for analysis with Google Cloud Dataprep service.
Google Cloud Datalab
Leverage the power of Google Cloud Datalab and get the most out of an interactive tool for data exploration, analysis, visualization and machine learning with ABCloudZ.