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In this sub-category, you can learn how to set up and configure ScalarDB Analytics, an analytics component of ScalarDB. Then, you can run analytical queries over ScalarDB-managed databases, which are updated through ScalarDB transactions, and non-ScalarDB-managed databases.
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To learn how to run analytical queries, see the following guides:
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-[Run Analytical Queries on Sample Data by Using ScalarDB Analytics with PostgreSQL](scalardb-samples/scalardb-analytics-postgresql-sample/README.mdx)
In this category, you can follow guides to help you become more familiar with deploying ScalarDB, specifically ScalarDB Cluster and ScalarDB Analytics, in local and cloud-based Kubernetes environments.
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## Deploy ScalarDB in your local Kubernetes environment
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## Deploy ScalarDB Cluster in a local Kubernetes environment
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In this sub-category, you can learn how to deploy ScalarDB in your local Kubernetes environment. The primary focus of this sub-category is learning to use Scalar Helm Charts. Because of this, a particular database (PostgreSQL) is specified for simplicity.
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To learn how to deploy ScalarDB Cluster in a local Kubernetes environment by using a Helm Chart and a PostgreSQL database, see [Deploy ScalarDB Cluster Locally](scalardb-cluster/setup-scalardb-cluster-on-kubernetes-by-using-helm-chart.mdx).
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## Deploy ScalarDB in a cloud-based Kubernetes environment
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## Deploy ScalarDB Cluster in a cloud-based Kubernetes environment
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In this sub-category, you can learn how to deploy ScalarDB in a cloud-based Kubernetes environment. This sub-category describes how to use Scalar Helm Charts and other steps that are required to run ScalarDB in a cloud-based Kubernetes environment.
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To learn how to deploy ScalarDB Cluster in a cloud-based Kubernetes environment by using a Helm Chart, see [Deploy ScalarDB Cluster on Amazon Elastic Kubernetes Service (EKS)](scalar-kubernetes/ManualDeploymentGuideScalarDBClusterOnEKS.mdx).
In this category, you can follow guides to help you become more familiar with ScalarDB, specifically with how to run transactions, analytical queries, and non-transactional storage operations.
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To get started with developing applications for ScalarDB, see the following sub-categories.
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## Run transactions
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In this sub-category, you can learn how to model your data based on the ScalarDB data model and create schemas. Then, you can learn how to run transactions through the ScalarDB core library and ScalarDB Cluster, a gRPC server that wraps the core library.
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In this sub-category, you can learn how to model your data based on the ScalarDB data model and create schemas. Then, you can learn how to run transactions through the ScalarDB Core library and ScalarDB Cluster, a gRPC server that wraps the Core library.
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You can also learn how to create correct, secure, and well-performing ScalarDB-based applications.
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For an overview of this sub-category, see [Run Transactions Overview](develop-run-transactions-overview.mdx).
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## Run analytical queries
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In this section, you can learn how to set up and configure ScalarDB Analytics, an analytics component of ScalarDB. Then, you run analytical queries over the databases you write through ScalarDB transactions.
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:::note
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Coming soon.
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:::
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## Run non-transactional operations
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In this sub-category, you can learn how to run such non-transactional storage operations.
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## Run non-transactional storage operations
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For an overview of this sub-category, see [Run Non-Transactional Operations Overview](develop-run-non-transactional-operations-overview.mdx).
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ScalarDB was initially designed to provide a unified abstraction between diverse databases and transactions across such databases. However, there are cases where you only need the unified abstraction to simplify your applications that use multiple, possibly diverse, databases.
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## Run sample applications
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ScalarDB can be configured to provide only the unified abstraction, without transaction capabilities, so that it only runs non-transactional operations on the underlying database and storage. Since ScalarDB doesn't guarantee ACID across multiple operations, you can perform operations with better performance.
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In this sub-category, you can learn how to run various sample applications that take advantage of ScalarDB.
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In this sub-category, you can learn how to run such non-transactional storage operations.
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For an overview of this sub-category, see [Run Sample Applications Overview](scalardb-samples/README.mdx).
# Run Non-Transactional Storage Operations Overview
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ScalarDB was initially designed to provide a unified abstraction between diverse databases and transactions across such databases. However, there are cases where you only need the unified abstraction to simplify your applications that use multiple, possibly diverse, databases.
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ScalarDB can be configured to provide only the unified abstraction, without transaction capabilities, so that it only runs non-transactional operations on the underlying database and storage. Since ScalarDB in this configuration doesn't guarantee ACID across multiple operations, you can perform operations with better performance.
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In this sub-category, you can learn how to run such non-transactional storage operations.
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To learn how to run analytical queries, see the following guides:
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- Run Through the CRUD Interface
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-[Use the ScalarDB Core Library](run-non-transactional-storage-operations-through-library.mdx)
In this sub-category, you can learn how to model your data based on the ScalarDB data model and create schemas. Then, you can learn how to run transactions through the ScalarDB Core library and ScalarDB Cluster, a gRPC server that wraps the Core library.
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To learn how to create correct, secure, and well-performing ScalarDB-based applications, see the following guides:
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-[Model Your Data](data-modeling.mdx)
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- Run Through the CRUD Interface
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-[Use the ScalarDB Core Library](run-transactions-through-scalardb-core-library.mdx)
In this category, you can follow quickstart tutorials for how to get started with running transactions and queries through ScalarDB.
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## Try running transactions through the ScalarDB core library
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## Try running transactions through the ScalarDB Core library
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In this sub-category, you can follow tutorials on how to run ACID transactions through the ScalarDB core library, which is publicly available under the Apache 2 license.
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In this sub-category, you can follow tutorials on how to run ACID transactions through the ScalarDB Core library, which is publicly available under the Apache 2 License.
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For an overview of this sub-category, see [ScalarDB Core Quickstart Overview](quickstart-scalardb-core-overview.mdx).
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## Try running transactions through ScalarDB Cluster
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In this sub-category, you can see tutorials on how to run ACID transactions through ScalarDB Cluster, which is a [gRPC](https://grpc.io/) server that wraps the ScalarDB core library.
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In this sub-category, you can see tutorials on how to run ACID transactions through ScalarDB Cluster, which is a [gRPC](https://grpc.io/) server that wraps the ScalarDB Core library.
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For an overview of this sub-category, see [ScalarDB Cluster Quickstart Overview](quickstart-scalardb-cluster-overview.mdx).
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## Try running analytical queries through ScalarDB Analytics
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In this sub-category, you can see tutorials on how to run analytical queries over the databases that you write to by using a component called ScalarDB Analytics. ScalarDB Analytics targets both ScalarDB-managed databases, which are updated through ScalarDB transactions, and non-ScalarDB-managed databases.
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In this sub-category, you can see tutorials on how to run analytical queries over the databases that you write through ScalarDB by using a component called ScalarDB Analytics. ScalarDB Analytics targets both ScalarDB-managed databases, which are updated through ScalarDB transactions, and non-ScalarDB-managed databases.
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For an overview of this sub-category, see [ScalarDB Analytics Quickstart Overview](quickstart-scalardb-analytics-overview.mdx).
In this sub-category, you can see tutorials on how to run analytical queries over the databases that you write through ScalarDB by using a component called ScalarDB Analytics.
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- To try running analytical queries through PostgreSQL, see [Getting Started with ScalarDB Analytics with PostgreSQL](scalardb-analytics-postgresql/getting-started.mdx).
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- To try running analytical queries through Spark, see [Getting Started with ScalarDB Analytics](scalardb-samples/scalardb-analytics-spark-sample/README.mdx).
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