Last updated June 5th 2024

What is Real-time Data Processing? The Complete 2025 Guide

Enhance real-time data handling for increased efficiency and cost reduction.

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What is Real-time Data Processing?

In order to maximize the value of their data, organizations need the ability to store, process, and analyze complex data sets in real time. Cloud databases provide the agility and responsiveness necessary to reduce costs and increase efficiency. With support for NoSQL, cloud databases are helping organizations with both analytical and operational use cases.

Products for Real-time Data Processing

We’ve listed the products and solutions that commonly address the Real-time Data Processing use case below.

AWS Database Services logo

AWS provides diverse cloud services suitable for various data workloads.

Google Database Services logo

Google offers serverless database services for flexible resource usage.

Couchbase logo

Couchbase Capella is a multi-modal NoSQL database focusing on non-relational databases.

MongoDB Atlas logo

MongoDB Atlas is a document-based database with a unified interface for CRUD operations.

Redis logo

Redis is an in-memory database specialized for real-time and transactional use cases.

Cloudera logo

Cloudera provides services for organizing, analyzing, and centralizing data.

Azure Database Services logo

Azure offers managed services with integrated data management and security.

FaunaDB logo

FaunaDB is a NoSQL database that combines the best of relational and NoSQL architectures.

Snowflake logo

Snowflake supports analytics, data lakes, and data warehouses with automated management features.

MariaDB logo

MariaDB is a versatile fork of MySQL, supporting transactional, analytical, and hybrid workloads.

Supabase logo

Supabase is a PostgreSQL relational database with real-time REST API and serverless functions.

Teradata Vantage logo

Teradata specializes in data warehousing and analytical use cases with advanced analytics.

Oracle Database logo

Oracle offers autonomous databases with advanced tuning and management.

PlanetScale logo

PlanetScale offers a MySQL-compatible, serverless database with customizable features.

MarkLogic logo

MarkLogic is a NoSQL database for transactional use cases.

Databricks logo

Databricks provides an open-source lakehouse storage and SQL capabilities for data lakes.

CockroachDB logo

CockroachDB is a cloud-native, distributed SQL database with auto-sharding for handling unpredictability.

Real-time Data Processing Features

Customize these feature priorities in Taloflow and get expert ratings for 15 different vendors and solutions, including None.

Feature Dimensions Description Priority
Activity Monitoring
  • Security
Monitor user activity and alerts when unusual behavior is detected. Critical
Data Encryption
  • Security
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
  • Security
Group users by requirements and enforce security mechanisms for them. Critical
Identity Management
  • Security
Natively provides identity management or integrates with identity management tools for authentication and access control. Critical
Key Management
  • Security
Natively provides key management or integrates with key management tools for creating, managing and controlling cryptographic keys. Critical
RBAC
Authorize and restrict access to specific database functions based on the user's role within the organization. Critical
Real-Time Data Loading
  • Use Case Fit
Supports continuous or real-time data upload without degrading performance. Critical
Streaming Data Support
Supports storing, processing or integrating with streaming data. 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
Cost-Based Query Optimizer
  • Performance
Optimize the query based on query plan cost that determines which query plan to run with. Important
Indexing Technology
  • Performance
Retrieve data from the database without having to read all of the data in storage. Important
Rule-Based Query Optimizer
  • Performance
Optimize the query based on a rule set that determines query execution. Important
Automated Management Utilities
  • Administration
Help administrators by automating DBA operations. Nice To Have
Automated Tuning
  • Performance
Automatically tune functions without the help of administrators. Nice To Have
Manual Tuning
  • Performance
Allows database administrators to directly make changes to parameters. Nice To Have
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