Best Data Storage Software & Tools


Subcategories of Data Storage
Logo
4.8 (2 reviews)
Logo
4.3 (27 reviews)
Logo
4.7 (3 reviews)
Logo
4.0 (3 reviews)
Logo
3.5 (1 review)
Logo
4.3 (10 reviews)
Logo
4.4 (4 reviews)
Logo
4.7 (3 reviews)
Logo
4.6 (5 reviews)
Logo
4.0 (4 reviews)
Logo
4.0 (4 reviews)
Logo
4.7 (3 reviews)
Logo
4.9 (7 reviews)
Logo
4.3 (2 reviews)
Logo
No reviews
Subcategories of Data Storage
Show filters
Filter (81 Products)
Star rating
Market segments
ZoomInfo OperationsOS/RingLead offers efficient data management with deduplication, cleansing, enrichment, lead scoring, and routing.
Microsoft Fabric is an AI-driven data warehouse platform promoting easy data management and enhanced teamwork. Offers a free trial.
Trino is an open-source software for quick, distributed data querying. Offers platform-independent data analysis. Costs $12/month.
Vertica is a unified analytics platform for advanced data analysis. It offers relational database, ANSI SQL support, ACID compatibility, and customizable models.
Azure Blob Storage offers scalable, cost-effective cloud storage for unstructured data. Features include data archiving, backups, content delivery, and top-notch security.
Bimanu Cloud offers a platform for effective data integration, management, analysis, and report creation. Ideal for comprehensive data insights.
ManageEngine Site24x7 is an IT service management tool providing clear communication about service interruptions and maintenance.
OrientDB Community Edition is a free, open-source software for developers, providing a graph editor, studio query, and command line console.
Cohesity is a data security and management platform offering immutable backups, threat detection, and multi-cloud mobility. Available as software and SaaS.
Viastore is an intralogistics solution ideal for automating material flow and distribution processes.
Product Seagate offers global mass storage solutions with features like data recovery, cloud backup and its suitable for a variety of industries.
RocketX allows secured content sharing through various platforms with added multimedia features. Offers offline access and auto-sync when connected to WiFi.
Databricks Lakehouse platform combines Data Lakes and Data Warehouses, reducing costs and accelerating data and AI projects.
Qualified boosts sales via real-time interaction with VIPs using live chats, voice calls, and chatbots. Ideal for the best software development professionals.
Teradata is a cloud data analytics platform offering multiple analytics engines, linking varied data sources. It's perfect for industries such as finance, health, and retail.
Dremio is a SQL-optimized BI platform for direct Lakehouse workload delivery. Features include data model creation, self-service data analysis, and sharing. Pricing varies.
Snowflake is a cloud data platform offering queryable source for data, semi-structured querying, and cost-efficient storage.

Data integration

Data compression

plus 13 more

Oracle Data Warehouse is a cloud service aiding in data storage, application development, and secure data operations.
Solver is a cloud-based tool for streamlining reporting, budgeting, and forecasting. Includes Excel add-in, web portal, Power BI integration, and a data warehouse.

Budgeting

Forecasting

plus 9 more

More about Best Data Storage Software & Tools

What is Data Storage?

Data Storage refers to the method by which digital information can be securely stored and managed in an electronic format. This process is fundamental to the operation of modern businesses and organizations as it enables the systematic collection, organization, and retrieval of data. At a time when data is considered one of the most valuable commodities, data storage plays a crucial role in supporting business decisions, operational processes, and overall efficiency.

The term Data Storage can encompass various forms of data storage, including physical hardware systems such as hard drives, SSDs, and tapes as well as software solutions and cloud-based services. These systems can be set up both onsite and offsite, depending on the specific requirements and infrastructure of the business.

Types of Data Storage

The world of data storage is diverse and has undergone an impressive evolution over the years. Modern businesses now have a wide range of Data Storage tools to choose from, all aimed at making data storage and management efficient, secure, and accessible:

Direct Attached Storage (DAS)

Direct Attached Storage is a traditional type of data storage where the storage unit is directly connected to a computer or server. DAS systems are typically easy to configure and offer high speed, but are not as flexible or scalable as some of the more modern storage solutions. They are ideal for small businesses or individuals with relatively simple storage requirements.

Network Attached Storage (NAS)

Network Attached Storage is a step above DAS and offers a centralized storage solution for a network of computers. NAS systems are known for their easy configuration and management and enable shared access to data and resources across a network. They also offer additional features such as automatic backups and data replication to enhance data security.

Storage Area Network (SAN)

Storage Area Networks are highly scalable, high-performance network storage solutions that are ideal for larger businesses and organizations. They provide high speed and reliability as they use a dedicated network for data transfer, thereby reducing the load on the main network. SANs also support many advanced storage functions such as data clustering, replication, and snapshots.

Cloud Storage

Cloud storage solutions offer businesses the opportunity to store their data in remote data centers and access it from anywhere. They are particularly popular for their scalability, cost-effectiveness, and the ability to facilitate shared access and collaboration. Examples of cloud storage solutions are Amazon S3, Google Cloud Storage and Microsoft Azure Blob Storage.

Object Storage

Object storage is a type of data storage that is ideal for unstructured data that cannot be easily organized in traditional file systems. Each "object" contains the data, metadata, and a global identification which allows efficient indexing and management. Object storage is scalable and is often used in cloud storage environments.

Block Storage

Block storage is a traditional type of storage where data is divided into equally sized "blocks" and stored separately. Each block has a unique address, which enables fast access to data. Block storage is ideal for applications with high performance requirements, such as databases or application servers.

File Storage

File storage (or file-based storage) is a type of storage where data is organized into files and directories. It is a hierarchical and easy-to-understand type of storage that is well-suited for users and applications that require a traditional file folder structure.

Software-Defined Storage (SDS)

Software-Defined Storage separates storage management and services from the physical storage hardware, allowing for improved scalability, flexibility, and automated management. SDS enables businesses to centrally manage and orchestrate storage resources and provides a platform for automating storage services and policies.

Functions and Features of Data Storage

1. Data Storage and Archiving: The basic function of data storage is to securely and efficiently store digital information. This also includes the archiving of data for long-term storage. Archiving helps to manage the data lifecycle and ensures less frequently needed data is stored in a cost-efficient manner while remaining accessible when needed.

2. Backup and Recovery: One of the essential functions of data storage is the ability to create regular backups of data to guard against data loss due to system failures or human errors. The recovery function allows for the restoration of lost or damaged data from these backups.

3. Data Management: Effective data management involves the classification, cataloging, and monitoring of stored data. This facilitates compliance with compliance policies and improves data quality by identifying and cleaning up redundant or outdated data.

4. Data Migration: Data storage systems should provide the ability to migrate data between different storage platforms or systems. This is particularly important in dynamic environments where requirements and technologies quickly change.

5. Data Replication and Synchronization: The features of data replication and synchronization are crucial for ensuring data consistency across different locations and systems. They help to maintain data availability and integrity even in the event of network failures or other unforeseen events.

6. Access Control and Security: To ensure data security, data storage solutions offer features for access control, encryption, and auditing. These features help prevent unauthorized access and ensure that only authorized users can access certain data.

7. Scalability: Scalability allows for the expansion of the storage system in line with growth in data volume. Modern storage solutions should offer the capability to scale capacity and performance as needed without requiring major overhauls of the infrastructure.

8. Performance Monitoring and Optimization: Effective storage solutions offer tools for performance monitoring and optimization to ensure the system operates efficiently and meets user requirements. This may also include identifying and addressing performance bottlenecks.

Benefits of Data Storage

The use of efficient data storage solutions brings with it a wealth of benefits that can significantly contribute to enhancing productivity, security, and the overall performance of businesses:

  • Centralized Data Management: A centralized data storage system allows for the management of all company data in one place. This simplifies data management, access, and control, and also allows for better data monitoring and improved compliance.
  • Improved Data Accessibility and Sharing: Modern data storage solutions enable quick and easy access to data from anywhere and at any time. This fosters collaboration within a team or between departments and makes the sharing of information and resources more efficient.
  • Data Security: With features like encryption, access control, and regular backups, data storage systems provide robust protection against data loss or theft. The ability to store sensitive data in secure, controlled environments is crucial to maintaining data security.
  • Scalability: The scalability of many data storage solutions allows businesses to expand their storage infrastructure in line with the growth of their data inventory. This means that they can increase capacity as needed without having to invest in an entirely new infrastructure.
  • Cost Efficiency: By reducing the need for physical hardware and the ability to scale storage resources as needed, businesses can save costs. Particularly, cloud-based storage solutions offer a cost-effective model that optimizes storage costs depending on actual needs.
  • Performance and Reliability: High-performance storage solutions ensure fast and reliable access to data, which is essential to maintaining operational efficiency and meeting customer requirements. By leveraging modern storage technologies, businesses can ensure continuous availability and minimal downtime.
  • Compliance and Auditability: Data storage systems offer tools and features that make it easier to meet compliance requirements and create audit trails for all data accesses and transactions. This is crucial for businesses in regulated industries.
  • Optimization of the Data Lifecycle: Effective data storage solutions support data lifecycle management by providing features for the automated archiving, deletion, and migration management of data. This helps improve data organization and optimize storage efficiency.

Selection Process for the Right Data Storage System

Choosing the right data storage solution is crucial for the efficient management and protection of company data. The process begins with understanding the different types of data storage and then goes through a structured selection procedure to identify the best provider. Here are the key steps explained in detail:

Understanding the Types of Data Storage

  • Assessment of Needs:
    • Start with a thorough assessment of data storage needs, including the type and volume of data to be stored, the required access speed, security requirements, and compliance requirements.
  • Exploration of Options:
    • Learn about the different types of data storage - such as on-premise solutions, cloud storage, Network Attached Storage (NAS), Storage Area Network (SAN), and object-based storage solutions. Each has its own advantages and disadvantages that should be weighed against the specific requirements.
  • Consultation with Experts:
    • Consult IT experts or external consultants to make a more informed decision about the type of data storage solution that best fits the business objectives.

Provider Selection Process

  • Creation of a Long List:
    • Based on the previous assessment, create a "long list" of providers that offer the type of storage solutions needed. This list should include a wide range of providers to get a good market overview.
  • Requirements Catalog (RFI/RFP):
    • Develop a requirements catalog (Request for Information - RFI or Request for Proposal - RFP) that contains detailed information about the storage requirements and desired features. This catalog is sent to all providers on the long list.
  • Creation of a Short List:
    • After receive the responses from the providers, evaluate them based on predefined criteria and create a "short list" of the providers that best meet the requirements.
  • Demonstrations and Discussions:
    • Arrange demos and discussions with the providers on the short list to get a better understanding of their solutions. Here, technical support, training, and other services offered by the providers can also be explored.
  • Cost Evaluation:
    • Review the cost structure of each provider, including initial, upgrade and maintenance costs. Make sure that the price-performance ratio meets expectations.
  • Finalizing the Provider:
    • After all necessary information has been collected and evaluated, make an informed decision and choose the provider that best meets the requirements.
  • Contract Negotiation and Conclusion:
    • Negotiate the contract with the selected provider, clarify all terms and conditions and close the contract to start the implementation of the data storage solution.