Free your company's time to focus on customer experience rather than optimize the database.
When building web and mobile apps, companies often have to deal with different data structures for different data sources. Cloud databases provide high flexibility and scalability for these scenarios, allowing developers to focus on building better customer experiences instead of optimizing the database.
We’ve listed the products and solutions that commonly address the Scaling and Application Mobility use case below.
AWS provides diverse cloud services suitable for various data workloads.
Google offers serverless database services for flexible resource usage.
Couchbase Capella is a multi-modal NoSQL database focusing on non-relational databases.
MongoDB Atlas is a document-based database with a unified interface for CRUD operations.
Redis is an in-memory database specialized for real-time and transactional use cases.
Cloudera provides services for organizing, analyzing, and centralizing data.
Azure offers managed services with integrated data management and security.
FaunaDB is a NoSQL database that combines the best of relational and NoSQL architectures.
Snowflake supports analytics, data lakes, and data warehouses with automated management features.
MariaDB is a versatile fork of MySQL, supporting transactional, analytical, and hybrid workloads.
Supabase is a PostgreSQL relational database with real-time REST API and serverless functions.
Teradata specializes in data warehousing and analytical use cases with advanced analytics.
Oracle offers autonomous databases with advanced tuning and management.
PlanetScale offers a MySQL-compatible, serverless database with customizable features.
MarkLogic is a NoSQL database for transactional use cases.
Databricks provides an open-source lakehouse storage and SQL capabilities for data lakes.
CockroachDB is a cloud-native, distributed SQL database with auto-sharding for handling unpredictability.
Customize these feature priorities in Taloflow and get expert ratings for 15 different vendors and solutions, including None.
| Feature | Dimensions | Description | Priority |
|---|---|---|---|
| Activity Monitoring |
|
Monitor user activity and alerts when unusual behavior is detected. | Critical |
| Clustering |
|
Increases processing power by connecting multiple database instances. | Critical |
| Data Encryption |
|
Secure data with encryption in transit or when stored in the cloud. | Critical |
| Data Masking |
|
Selectively obscure column data from users while still allowing access to the column. | Critical |
| Group-Level Security |
|
Group users by requirements and enforce security mechanisms for them. | Critical |
| Identity Management |
|
Natively provides identity management or integrates with identity management tools for authentication and access control. | Critical |
| In-Memory Capability |
|
Allows for the usage of a shared cache for faster user access to the data. | Critical |
| Key Management |
|
Natively provides key management or integrates with key management tools for creating, managing and controlling cryptographic keys. | Critical |
| Multiple Application Clustered Node |
|
Supports running multiple applications across the cluster. | Critical |
| Node Volume Limitation |
|
Set a maximum volume for data storage. | Critical |
| RBAC |
|
Authorize and restrict access to specific database functions based on the user's role within the organization. | Critical |
| Transport Layer Security |
|
Enables transport layer security between database servers and client applications. | Critical |
| User Authentication |
|
Verify the identity of users attempting to access database instances. | Critical |
| Automated Query Governance |
|
Analyzes the query and prevents it from executing unless it meets standards. | Important |
| Automated Tuning |
|
Automatically tune functions without the help of administrators. | Important |
| Cost-Based Query Optimizer |
|
Optimize the query based on query plan cost that determines which query plan to run with. | Important |
| Database Replication |
|
Creates a copy of the data available in the database in a disaster recovery environment. | Important |
| Indexing Technology |
|
Retrieve data from the database without having to read all of the data in storage. | Important |
| Manual Tuning |
|
Allows database administrators to directly make changes to parameters. | Important |
| Network Load Balancing |
|
Distribute the load between application and database servers. | Important |
| Parallel Query Execution |
|
Increases the execution speed of SQL queries by creating multiple query processes that divide the workload of a SQL statement and execute it in parallel. | Important |
| Parallel Utility Execution |
|
Supports running utilities such as backup and recovery, free space reclamation, and index rebuild in parallel. | Important |
| Rule-Based Query Optimizer |
|
Optimize the query based on a rule set that determines query execution. | Important |
| Storage Control |
|
Control where data is stored based on specific locations. | Important |
| Data Partitioning |
|
Supports dividing data sets and distributing data over multiple servers. | Nice To Have |
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