Best Database Software for Azure Blob Storage
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Compare the Top Database Software that integrates with Azure Blob Storage as of July 2025
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This a list of Database software that integrates with Azure Blob Storage. Use the filters on the left to add additional filters for products that have integrations with Azure Blob Storage. View the products that work with Azure Blob Storage in the table below.
What is Database Software for Azure Blob Storage?
Database software and database management systems are a type of software designed to store, manage and retrieve data. It is used to organize all kinds of information in an efficient manner, allowing users to quickly access the data they need. Many databases are tailored for specific purposes and applications, ranging from transaction processing systems to large-scale analytics platforms. Database software may be used on its own or connected with other software services for complex operations. Compare and read user reviews of the best Database software for Azure Blob Storage currently available using the table below. This list is updated regularly.
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1
Google Cloud Platform
Google
Google Cloud Platform offers a variety of managed database services, including Cloud SQL, Cloud Spanner, and Cloud Firestore, to support different application needs. These services simplify database management and provide high availability, scalability, and security. New customers are granted $300 in free credits to run, test, and deploy workloads, allowing them to explore GCP’s database solutions and assess how these managed services can meet their business’s data storage and query requirements. GCP's database solutions are fully integrated with other services like BigQuery and Google Cloud Storage, enabling seamless data analytics workflows. Additionally, businesses can choose from relational and NoSQL databases, allowing them to select the best database for their specific use case. The platform’s automated scaling and management features reduce operational overhead, allowing businesses to focus on their applications rather than infrastructure.Starting Price: Free ($300 in free credits) -
2
NAKIVO Backup & Replication
NAKIVO
NAKIVO Backup & Replication offers complete data protection for virtual, physical, cloud, and SaaS environments including VMware vSphere, Microsoft Hyper-V, Nutanix AHV, Proxmox VE, Amazon EC2, Windows and Linux physical machines and servers, files shares/NAS, Oracle database, and Microsoft 365. You can install the NAKIVO solution on Linux and Windows OS, or deploy it as a pre-configured virtual appliance (VA) or Amazon Machine Image (AMI). You can also install the solution on NAS to create a cost-efficient and fast backup appliance. NAKIVO Backup & Replication includes advanced disaster recovery functionality with Site Recovery and Real-Time Replication for VMware. In addition, you can protect backups from ransomware using built-in cybersecurity features like immutability and pre-recovery malware scans.Starting Price: $229/ socket; $25 workload/y -
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SQL Safe Backup
IDERA
SQL Safe Backup helps database administrators to back up and recover instantly across Microsoft SQL Servers. Unlike its competition, it provides virtual databases with access to back up files without consuming disk space, instant restore, centralized management across Microsoft SQL Servers, and alert notifications for success and failure of operations.Starting Price: $1,036.00 per instance -
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Milvus
Zilliz
Vector database built for scalable similarity search. Open-source, highly scalable, and blazing fast. Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models. With Milvus vector database, you can create a large-scale similarity search service in less than a minute. Simple and intuitive SDKs are also available for a variety of different languages. Milvus is hardware efficient and provides advanced indexing algorithms, achieving a 10x performance boost in retrieval speed. Milvus vector database has been battle-tested by over a thousand enterprise users in a variety of use cases. With extensive isolation of individual system components, Milvus is highly resilient and reliable. The distributed and high-throughput nature of Milvus makes it a natural fit for serving large-scale vector data. Milvus vector database adopts a systemic approach to cloud-nativity, separating compute from storage.Starting Price: Free -
5
LanceDB
LanceDB
LanceDB is a developer-friendly, open source database for AI. From hyperscalable vector search and advanced retrieval for RAG to streaming training data and interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application. Installs in seconds and fits seamlessly into your existing data and AI toolchain. An embedded database (think SQLite or DuckDB) with native object storage integration, LanceDB can be deployed anywhere and easily scales to zero when not in use. From rapid prototyping to hyper-scale production, LanceDB delivers blazing-fast performance for search, analytics, and training for multimodal AI data. Leading AI companies have indexed billions of vectors and petabytes of text, images, and videos, at a fraction of the cost of other vector databases. More than just embedding. Filter, select, and stream training data directly from object storage to keep GPU utilization high.Starting Price: $16.03 per month -
6
Apache DataFusion
Apache Software Foundation
Apache DataFusion is an extensible, high-performance query engine written in Rust that utilizes Apache Arrow as its in-memory format. Designed for developers building data-centric systems such as databases, data frames, machine learning, and streaming applications, DataFusion offers SQL and DataFrame APIs, a vectorized, multi-threaded, streaming execution engine, and support for partitioned data sources. It natively supports formats like CSV, Parquet, JSON, and Avro, and allows for seamless integration with object stores including AWS S3, Azure Blob Storage, and Google Cloud Storage. The engine features a comprehensive query planner, a state-of-the-art optimizer with capabilities like expression coercion and simplification, projection and filter pushdown, sort and distribution-aware optimizations, and automatic join reordering. DataFusion is highly customizable, enabling the addition of user-defined scalar, aggregate, and window functions, custom data sources, query languages, etc.Starting Price: Free -
7
TiMi
TIMi
With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering, creation of KPIs) and predictive modeling. TIMi is an “ethical solution”: no “lock-in” situation, just excellence. We guarantee you a work in all serenity and without unexpected extra costs. Thanks to an original & unique software infrastructure, TIMi is optimized to offer you the greatest flexibility for the exploration phase and the highest reliability during the production phase. TIMi is the ultimate “playground” that allows your analysts to test the craziest ideas!
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