Best Non-Relational Databases

Database server for large and mission-critical business applications that require sub-second response times.

Post-relational database for e-applications; delivers breakthrough performance for highly scalable Web applications.

TileDB, Inc. is a data management company founded to help Data Science teams make faster discoveries, by giving them a more natural way to store, analyze and share large sets of diverse data, so that they can stop wasting time working around performance limitations, inadequate data storage formats, and unfamiliar tooling.

The database for Web Services. Includes Native Object and XML Support, ANSI SQL Support, no Object-Relational mapping.

ObjectStore is an enterprise object-oriented database management system for C++ and Java. Our technology enables developers to build distributed and cross-platform solutions that operate on-premise or in the cloud.

Polyhedra is a family of compact, lightweight, SQL relational database management systems (RDBMS) optimized for embedded systems applications. Built on an ironclad clientserver architecture, Polyhedra in-memory database system (IMDB) and Polyhedra FlashLite provide a secure data repository for embedded systems, mobile devices and server-based applications demanding the utmost in performance and reliability.

Cloud Bigtable is Google's NoSQL Big Data database service. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.

Amazon SimpleDB is a highly available NoSQL data store that offloads the work of database administration. Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest.

IBM Db2® Event Store is a memory-optimized database designed to rapidly ingest and analyze streamed data for event-driven applications. IBM Watson® Studio is built into IBM Db2 Event Store for an integrated, collaborative development experience with support for creating machine-learning models.

TigerLogic XDMS is an enterprise native XML database management server with both data- and document-centric capabilities. The TigerLogic XDMS difference comes from its core technology: a data model that is optimal for managing and storing any kind of XML or non-XML data and its extensible XQuery Engine.

High performance time series database. Superior developer experience with SQL and time series extensions. Speed and reliability to solve ingestion speed bottlenecks. For massive volumes of time-series data, trust a specialized time-series database. Timestamps are first-class, and blistering throughput is sustained even through the highest data cardinality. Deduplication and out-of-order ingestion also work right out-of-the-box. Deploy QuestDB anywhere around the world.

3.2M+ Timescale databases power apps across IoT, sensors, AI, dev tools, crypto, and finance—all built on PostgreSQL. We use PostgreSQL for everything; we built our cloud so you can too. For workloads that ingest and query high volumes of data, Timescale queries up to 350x faster, ingests 44% faster, and saves 95% storage over RDS. We just made PostgreSQL a better database for AI—as fast as Pinecone, easier to use, up to 75% cheaper, and 100% open source.

Toshiba GridDB™ is a highly scalable, in-memory NoSQL time series database optimized for IoT and Big Data. A unique key-container model designed specifically to handle both metadata and time series data. Utilizing an in-memory data architecture — along with superb parallel processing and minimal overhead — grants benchmark-shattering performance. Scale out horizontally with commodity hardware while maintaining the sameexcellent in-memory performance. Non-stop operations even when tasked with adding new nodes or when facing inevitable node failures.

Warp 10 is a modular open source platform shaped for the IoT that collects, stores and allows you to analyze sensor data. Increase the storage capacity of your historical data and reduce your storage bill while preserving all analysis capabilities. Deploy a real time database that scales with your time series needs. Enhance your existing tools with a ubiquitous analysis environment dedicated to time series data. Streamlining KPIs and data visualization across your organization. Enable your business applications to interact easily with your system's data.

Everything Teams Need to Manage Workflows & Resources. Modernize Procedures. Replace paper, Excel, Confluence, and outdated wiki checklists with a complete solution for planning and tracking complex work. Rapidly Iterate. Innovation and continuous improvement come easily when teams can quickly respond to changes and outcomes in real-time. Centralize Information. Standardize knowledge sharing and maintain a digital thread to ensure safety, quality, efficiency, and traceability. Scale Operations. Automate workflows, reporting, and resource tracking so you have more time to plan the next big milestone.

Enable data-driven decision-making on the plant floor and across your enterprise. Improve your company’s decision-making and troubleshooting capabilities with our real-time manufacturing analytics software. PARCview provides a single source of truth for all your manufacturing data. Aggregate disparate data from machines and manufacturing systems such as ERP, MES, lab, & quality systems, to develop the insights that drive continuous improvement.