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Transaction Data Store (TDS) Software

Transaction Data Store

What is Transaction Data Store Software?

Transaction Data Store (TDS) software efficiently captures, stores, and manages high volumes of real-time transactional data, such as financial operations, retail purchases, or logistics events. It ensures data integrity, consistency, and durability, supporting complex queries and concurrent user access. TDS systems are critical for applications that require fast, reliable processing of structured data across large-scale enterprise environments. Transaction Data Store software provides real-time support for transaction processing (CRUD - Create, Read, Update and Delete). It is designed for Online Transaction Processing (OLTP) systems to withstand high data access in a fault-tolerant manner from multiple sources.

Common Features

  • Analytics and Reporting
  • Data Virtualization
  • Big Data Analytics
  • Data Management
  • Operations Management
  • Data Protection and Security
  • Data Monitoring and Administration
  • Data Backup
  • Data Replication
  • Database Management
  • Systems Performance Management
  • Cloud/On-Prem/Hybrid Deployment
  • Distributed Processing
  • High Availability
  • High Speed & Online Transaction Processing
  • Hybrid Transaction and Analytical Support

Top Transaction Data Store (TDS) Software

2025 Data Quadrant Awards

2026 Emotional Footprint Awards

At SoftwareReviews, we take pride in recognizing excellence. Each year, we present the Data Quadrant Awards to top-performing software products based solely on authentic user reviews, without any paid placements or analyst opinions. These awards highlight software products that excel in terms of features, vendor capabilities, and customer relationships, earning them the highest overall rankings.

At SoftwareReviews, we take pride in recognizing excellence. Each year, we present the Emotional Footprint Awards to top-performing software products based solely on authentic user reviews, without any paid placements or analyst opinions. These awards shine a spotlight on software vendors who excel in crafting and nurturing strong customer relationships.

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Products: 12
Next Award: Sep 2026

Top Transaction Data Store Software 2026

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

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Products below are ineligible for awards due to insufficient recent reviews

Optimized for large-scale transaction processing, Software AG’s Adabas Database Management System Platform provides ultra-high-performance and reliable data processing for enterprise business transactions.

Pros

  • Unique Features
  • Helps Innovate
  • Reliable
  • Performance Enhancing
Composite Score
6.4 /10
CX Score
6.6 /10

Objectivity/DB, the company’s flagship product and patented object-oriented database technology, enables customers to maximize existing infrastructure to capture information needed to address evolving, complex, analytic requirements within Big Data.

Pros

  • Reliable
  • Enables Productivity
  • Unique Features
  • Effective Service

Cons

  • Inhibits Innovation

Database Management for DB2 for z/OS solutions from CA Technologies provide a powerful and flexible set of tools designed to ensure optimal database and SQL performance, efficient administration, and reliable backup and recovery of DB2 databases, systems and apps.

Pros

  • Helps Innovate
  • Fair
  • Continually Improving Product
  • Performance Enhancing

Cons

  • Less Reliable
  • Less Generous
Progress Software

OpenEdge

Insufficient Data
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Progress OpenEdge is the fundamental application development environment that keeps your business running. Our constant innovation enables you to leverage technology advancements to quickly deliver high-performing business applications that your users not only need, but want.

SingleStore (Previously MemSQL)

SingleStore DB

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SingleStore DB (formerly MemSQL) is a high-performance, in-memory database that combines the horizontal scalability of distributed systems with the familiarity of SQL.

VoltDB

VoltDB

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VoltDB is the only in-memory database purpose-built to transform your business with fast data. VoltDB offers the speed and scalability of the best distributed data architectures, with the ease of use, familiar data models, and transactional capability of traditional RDBMSs - without the hefty price tag.

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Raima Database Manager (RDM), is a linkable library that you easily embed within your application to Collect, Store, Manage and Move data in near real-time – requiring zero ongoing administration. RDM is perfectly designed to be bundled inside applications that run on small embedded IoT or IIoT devices out on the edge or in the fog, e.g. collecting all information gathered from a network of sensors and actuators, then securely delivery that data up to enterprise level hardware systems in the Cloud.

DataStax ACQUIRED BY IBM

DataStax Enterprise

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DataStax Enterprise Graph is the first graph database fast enough to power customer facing applications, capable of scaling to massive datasets and advanced integrated tools that power deep analytical queries.

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CortexDB is not only a self-learning NoSQL database but also an analytics solution for unprecedented easy and fast data analysis.

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For enterprise organizations moving mission-critical applications to the cloud, NuoDB provides a distributed SQL database that combines the scale-out simplicity, elasticity, and continuous availability that cloud applications require. NuoDB is cloud-native and cloud-agnostic, deploying in and across public and private clouds and on-premise environments, enabling you to move applications where you want, when you want.

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