Azure Table Storage vs. Upsolver Comparison


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Also available in EU-hosted sovereign cloud. 68 Ratings Visit Website IONOS Cloud Object Storage IONOS Cloud Object Storage is a scalable storage service designed for storing and accessing large amounts of unstructured data in cloud environments. It is fully compatible with the S3 API standard, allowing developers and IT teams to manage buckets and objects using existing S3 clients and tools while integrating easily into cloud-native applications and infrastructures. It enables organizations to store virtually unlimited volumes of static or backup data without the need to provision or manage traditional storage volumes. It is built for reliability and high availability, using redundant storage across multiple nodes so data remains accessible and protected even if infrastructure failures occur. 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About Use Azure Table storage to store petabytes of semi-structured data and keep costs down. Unlike many data stores—on-premises or cloud-based—Table storage lets you scale up without having to manually shard your dataset. Availability also isn’t a concern: using geo-redundant storage, stored data is replicated three times within a region—and an additional three times in another region, hundreds of miles away. Table storage is excellent for flexible datasets—web app user data, address books, device information, and other metadata—and lets you build cloud applications without locking down the data model to particular schemas. Because different rows in the same table can have a different structure—for example, order information in one row, and customer information in another—you can evolve your application and table schema without taking it offline. Table storage embraces a strong consistency model.	About Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience IT teams seeking a NoSQL key-value store for rapid development using massive semi-structured datasets	Audience Companies interested in a low-code data pipeline platform
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
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Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Supported Free Trial Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported
Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/services/storage/tables/#features	Company Information Upsolver Founded: 2014 Israel www.upsolver.com
Alternatives Alibaba Cloud Tablestore Alibaba Cloud	Alternatives Qlik Compose Qlik
Apache HBase The Apache Software Foundation	Lyftrondata
Google Cloud Bigtable Google	IBM StreamSets IBM
Apache Cassandra Apache Software Foundation	Fivetran
JaguarDB View All	Qlik Data Integration Qlik View All
Categories Columnar Databases Supported Key-Value Databases Supported NoSQL Database Supported	Categories Big Data Supported Data Integration Supported Data Lake Supported Data Mining Supported Data Pipeline Supported Data Preparation Supported Event Stream Processing Supported
	Show More Features Big Data Features Collaboration Not Supported Data Blends Supported Data Cleansing Supported Data Mining Supported Data Visualization Not Supported Data Warehousing Not Supported High Volume Processing Supported No-Code Sandbox Supported Predictive Analytics Not Supported Templates Not Supported
Integrations AWS IoT SiteWise Not Supported Auth.js Supported Autymate Supported DQ Studio Supported Data Sentinel Supported Eco Not Supported Hive Not Supported Micromerce Not Supported Microsoft Azure Supported NXLog Supported PuppyGraph Not Supported SSIS Integration Toolkit Supported StarfishETL Supported Show More Integrations View All 8 Integrations	Integrations AWS IoT SiteWise Supported Auth.js Not Supported Autymate Not Supported DQ Studio Not Supported Data Sentinel Not Supported Eco Supported Hive Supported Micromerce Supported Microsoft Azure Not Supported NXLog Not Supported PuppyGraph Supported SSIS Integration Toolkit Not Supported StarfishETL Not Supported Show More Integrations View All 5 Integrations
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