Best On-Premise Data Management Software - Page 6

The TextRazor API helps you extract and understand the Who, What, Why and How from your news stories with unprecedented accuracy and speed. Entity Extraction, Disambiguation and Linking. Keyphrase Extraction. Automatic Topic Tagging and Classification. All in 12 languages. Deep analysis of your content to extract Relations, Typed Dependencies between words and Synonyms, enabling powerful context aware semantic applications. Rapidly extract custom products, companies and build problem specific rules for tagging your content with your own categories. TextRazor offers a complete cloud or self-hosted text analysis infrastructure. We combine state-of-the-art natural language processing techniques with a comprehensive knowledgebase of real-life facts to help rapidly extract the value from your documents, tweets or web pages.

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. You don’t have to worry about ensuring resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notification system. AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

KgBase, or Knowledge Graph Base, is a collaborative, robust database with versioning, analytics & visualizations. With KgBase, any community or individual can create knowledge graphs to build insights about their data. Import your CSVs and spreadsheets, or use our API to work on data together. Build no-code knowledge graphs with KgBase, our easy-to-use UI lets you traverse the graph, show the results as tables and charts, and much more. Play with your graph data. Build your query and see results update in real time. It's like writing query code in Cypher or Gremlin, except easier. And fast. Your graph can be viewed as a table, allowing you to browse all results - no matter the size. KgBase works great with large graphs (millions of nodes), as well as simple projects. In the cloud, or self-hosted, with wide database support. Introduce graphs into your organization by seeding graph from a template. Results of any query can be easily turned into a chart visualization.

Trustgrid is the SD-WAN for application providers. The Trustgrid platform uniquely addresses the needs of SaaS application providers who rely on remote systems. By combining an SD-WAN 2.0, edge computing, and zero trust remote access into a single platform we allow software providers to manage and support distributed application environments from the cloud to the edge. With the Trustgrid platform you can: • Build cloud to on-premise networks at scale • Manage and support 100s of networks from a single pane of glass • Control on-premise apps and appliances as if they were in the cloud • Run and support Docker containers in any cloud or on-premise • Provide your support teams secure access to edge application environments Simplify connectivity, enhance security, and guarantee network availability with Trustgrid.

The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source distributed database running queries in milliseconds, whatever the complexity, volume and velocity of data.

IBM Cloud Pak for Integration® is a hybrid integration platform with an automated, closed-loop approach that supports multiple styles of integration within a single, unified experience. Unlock business data and assets as APIs, connect cloud and on-premise applications, reliably move data with enterprise messaging, deliver real-time event interactions, transfer data across any cloud and deploy and scale with cloud-native architecture and shared foundational services, all with end-to-end enterprise-grade security and encryption. Achieve the best results from integration with an automated, closed-loop and multi-style approach. Apply targeted innovations to automate integrations, such as natural language–powered integration flows, AI-assisted mapping and RPA, and use company-specific operational data to continuously improve integrations, enhance API test generation, workload balancing and more.

Smart DIH is an operational data hub that powers real-time modern applications. It unleashes the power of customers’ data by transforming data silos into assets, turning organizations into data-driven enterprises. Smart DIH consolidates data from multiple heterogeneous systems into a highly performant data layer. Low code tools empower data professionals to deliver data microservices in hours, shortening developing cycles and ensuring data consistency across all digital channels. XAP Skyline is a cloud-native, in memory data grid (IMDG) and developer framework designed for mission critical, cloud-native apps. XAP Skyline delivers maximal throughput, microsecond latency and scale, while maintaining transactional consistency. It provides extreme performance, significantly reducing data access time, which is crucial for real-time decisioning, and transactional applications. XAP Skyline is used in financial services, retail, and other industries where speed and scalability are critical.

Driven by powerful AI algorithms, NetApp® Cloud Data Sense provides automated controls and reporting so that you can always stay on top of your data. Data availability, ownership, completeness, and quality are crucial for business efficiency and cost optimization. Make smart data decisions, and automate and execute those data optimization plans you’ve been delaying. NetApp Cloud Data Sense automatically discovers, maps, and classifies your data, wherever it might be. With Cloud Data Sense, you can automatically label and act on information stored in files and database entries. By using granular data parameters and AI-driven contextual language identification, Cloud Data Sense makes it easier to govern your data. It visualizes your data for you at all times. Cloud Data Sense lets you analyze a wide and growing range of data sources. You can analyze structured and unstructured data, in the cloud or on premises.

TimescaleDB is the leading open-source relational database with support for time-series data. Fully managed or self‑hosted. Rely on the same PostgreSQL you know and love, with full SQL, rock-solid reliability, and a massive ecosystem. Write millions of data points per second per node. Horizontally scale to petabytes. Don’t worry about cardinality. Simplify your stack, ask more complex questions, and build more powerful applications. Spend less with 94-97% compression rates from best-in-class algorithms and other performance improvements. A modern, cloud-native relational database platform for time-series data based on TimescaleDB and PostgreSQL. The fast, easy, and reliable way to store all your time-series data. All observability data is time-series data. Efficiently finding and addressing infrastructure and application issues is a time-series problem.

Accelerate your business processes by automating information extraction. Azure Form Recognizer applies advanced machine learning to accurately extract text, key-value pairs, tables, and structures from documents. With just a few samples you can tailor Azure Form Recognizer to understand your documents, both on-premises and in the cloud. Turn documents into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it. Get output tailored to your layouts with automatic custom extraction and improve it with human feedback. Ingest data from the cloud or at the edge and apply to search indexes, business automation workflows, and more. Rely on enterprise-grade security and privacy applied to both your data and any trained models.

Securely store, process, and analyze all your structured and unstructured data at rest. Hortonworks Data Platform (HDP) is an open source framework for distributed storage and processing of large, multi-source data sets. HDP modernizes your IT infrastructure and keeps your data secure, in the cloud or on-premises, while helping you drive new revenue streams, improve customer experience, and control costs. A container-based service makes it possible to build and roll out applications in minutes. Containerization makes it possible to run multiple versions of an application, allowing you to rapidly create new features and develop and test new versions of services without disrupting old ones. HDP also supports third-party applications in Docker containers and native YARN containers. Erasure coding boosts storage efficiency by 50%, allowing efficient data replication to lower TCO.

Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear in your data and before anyone else is impacted. Detect, root-cause, and resolve issues quickly – allowing everyone to feel confident in the data driving your business. Connect Anomalo to your Enterprise Data Warehouse and begin monitoring the tables you care about within minutes. Our advanced machine learning will automatically learn the historical structure and patterns of your data, allowing us to alert you to many issues without the need to create rules or set thresholds.‍ You can also fine-tune and direct our monitoring in a couple of clicks via Anomalo’s No Code UI. Detecting an issue is not enough. Anomalo’s alerts offer rich visualizations and statistical summaries of what’s happening to allow you to quickly understand the magnitude and implications of the problem.‍

NoSQL is a domain-specific programming language used for accessing, managing, and manipulating non-tabular databases. A NoSQL (originally referring to "non-SQL" or "non-relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Such databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 21st century, triggered by the needs of Web 2.0 companies. NoSQL databases are increasingly used in big data and real-time web applications.NoSQL systems are also sometimes called Not only SQL to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures. Many NoSQL stores compromise consistency (in the sense of the CAP theorem) in favor of availability, partition tolerance, and speed. Barriers to the greater adoption of NoSQL stores include the use of low-level query languages.

With its low-code platform for creating industrial applications, Peakboard GmbH assists production and logistics companies in monitoring their internal processes and managing their own systems interactively. The solution can gather process data from all common data sources, including SAP, machine controls, material flow controls, and Excel. It can then evaluate and display this data on screens in real-time. This approach enables easy identification of sources of errors, thereby increasing productivity. Customers have the autonomy to decide which key figures they would like to be displayed on the dashboard. Furthermore, information can be relayed to over 90 connected IT interfaces using touchscreens. This establishes an intuitive user interface that employees in production and the warehouse can utilize to interact with the complex IT landscape. As a result, controlling production machinery becomes as simple as using a smartphone.

DataHUB+ is a next generation data historian, for real-time monitoring of assets and systems across an entire network. Built in analytics and data visualization tools allow for rapid insights so you have a clear overview of what is happening in your plant, facility or city at all times. Equipment agnostic ensures that data can be integrated from any IoT device, sensor or piece of equipment. Data is stored securely and reliably, eliminating duplicated data throughout the organization, with DataHUB+ becoming the source of truth. DataHub+ doesn’t rely on expensive IT infrastructure like traditional process data historians. DataHUB+ automatically checks the data quality as it is ingested, alerting teams if there are problems with the data quality. The automatic pre-processing of data, means it is ready for data analytics and AI, eliminating data wrangling. Teams can produce reports, get alerts and easily track KPIs using DataHUB+. Let your data power your future.

Build beautiful forms, access-controlled databases, and highly customizable business apps without any code, all in one place! Create powerful relational databases and connect building blocks such as forms, tables, lists, charts, reports, widgets, wizards & many more to build your perfect application in minutes, not months! Power your data collection with beautiful, yet powerful online forms that don’t require any coding to set up. Capture leads, create workflows, collect payments, administer surveys, and so much more. Organize your workspace into different teams, departments, clients, and projects. Manage secure access of your team members easily and collaborate more effectively in real time. Don't settle for off-the-shelf software that doesn't fit your business perfectly. Easily create powerful custom interfaces for your business's data in minutes, without needing developers. Connect your workflow to thousands of apps and services such as Google, Facebook, Salesforce, Slack, etc.

A cloud-native distributed HTAP database built for elastic scaling and real-time analytics in a fully managed service, with its serverless tier enabling your launching of the HTAP database in seconds. Elastically and transparently scale to hundreds of nodes for critical workloads without changing business logic. Use what you know about SQL, and maintain your relational model and global ACID transactions while coping with your hybrid workloads at ease. Equipped with a built-in high-performance analytics engine to analyze operational data without using an ETL. Scale-out to hundreds of nodes while maintaining ACID transactions. No need to bother with sharding or facing downtime. Ensure data accuracy at scale, even for simultaneous updates to the same data source. Increase productivity and shorten time-to-market for your applications with TiDB’s MySQL compatibility. Easily migrate data from existing MySQL instances without the need to rewrite code.

Handle text data with a no-code console that can read natural language. Never again with a spreadsheet. Spreadsheets have no clue about words meaning and languages. You do, and SimpleX does too. No complicated queries nor machine learning gibberish. A.I. is well hidden behind a simple and intuitive UI. Analyze 10x faster free text answers. Import, tag, categorize, and filter hundreds of quotes in seconds. Our A.I. does all the heavy lifting for you. Instant treemaps or word clouds, ready to be pasted in your presentation. And tidy exports with all the right insights. Understands and processes natively 50 languages, even mixed up. Deals with up to 10k text answers such as quotes, feedback, comments, and reviews. Extracts insights 10 times faster thanks to AI-powered analytical features. Performs in real-time time-consuming tasks you thought only humans could do. Sophisticated AI is a simple & friendly solution.

Einblick is the fastest and most collaborative way to explore data, create predictions, and deploy data apps. Our canvases radically change data science workflows by making it so much easier to explore, clean, and manipulate data on a novel interface. We are the only platform that let you collaborate in real-time with your whole team. Decision-making is a group activity, so let’s get everyone involved. Don’t waste time hand-tuning models. Our AutoML is focused on helping you create explainable predictions and identify key drivers without fuss. Einblick packages common analytics functionality into easy-to-use operators that let you abstract repetitive tasks and get to answers faster. From Snowflake to S3 buckets to CSV files, connect your data source and start getting to answers within minutes. Take a list of churned and current customers and join in everything you know about them. Uncover the key factors that led to churn, and identify how at-risk every customer is.

Manage complex models using ArcadeDB without any compromise. Forget about Polyglot Persistence. no need for multiple databases. You can store graphs, documents, key values and time series all in one ArcadeDB Multi-Model database. Since each model is native to the database engine, you don't have to worry about translations slowing you down. ArcadeDB's engine was built with Alien Technology. It's able to crunch millions of records per second. With ArcadeDB, the traversing speed is not affected by the database size. It is always constant, whether your database has a few records or billions. ArcadeDB can work as an embedded database, on a single server and can scale up using multiple servers with Kubernetes. Flexible enough to run on any platform with a small footprint. Your data is secure. Our unbreakable fully transactional engine assures durability for mission-critical production databases. ArcadeDB uses a Raft Consensus Algorithm to maintain consistency across multiple servers.

No-code data cleaning, preparing, and ML platform. Specialized development for business cases & on-premise setup for data privacy. Start to use Sweephy's free modules. No-code machine learning-powered tools. Just give the data and keywords that you are checking for. Our model can create a report based on keywords. It doesn't just check the words in the text, our model is classifying semantically and grammatically. Let us find similar or the same records in your database. Create a unified user database from different data sources with Sweephy Dedupu API. With Sweephy API, easily create object detection models by finetuning pre-trained models. Just send us some use cases, and we will create an appropriate model for you. Such as classifying documents, pdfs, receipts, or invoices. Just upload the image dataset. Our model will clean the noise on the image easily or we can create a finetuned model for your business case.

Open-source vector similarity search for Postgres. Supports exact and approximate nearest neighbor search for L2 distance, inner product, and cosine distance.

Chroma is an AI-native open-source embedding database. Chroma has all the tools you need to use embeddings. Chroma is building the database that learns. Pick up an issue, create a PR, or participate in our Discord and let the community know what features you would like.

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.

Reshape your perception of time in data analytics. Instantly access your business’ data in no time and work directly on your dashboard without going back and forth with the IT team. Meet Indexima DataHub, a new space-time where operational and functional users gain instant access to their data, in no time. With a combination of its unique indexing engine and machine learning, Indexima allows businesses to access all their data to simplify and speed up analytics. Robust and scalable, the solution allows organizations to query all their data directly at the source, in volumes of tens of billions of rows in just a few milliseconds. Our Indexima platform allows users to implement instant analytics on all their data in just one click. Thanks to Indexima’s new ROI and TCO calculator, find out in 30 seconds the ROI of your data platform. Infrastructure costs, project deployment time, and data engineering costs, while boosting your analytical performances.

Datafi provides a unified data platform for business teams. It integrates data siloes, it unifies data security and it enables self-service data workflows for the unique requirements of business users to easily find, use, and share the business information they need. Customers deploy Datafi to expand their organization’s data capabilities and empower more people to make fast and better data-driven decisions. With Datafi, data anywhere is easily accessible and meaningful for everyone. Know for sure how your data is accessed and how your data is used. Data-forward organizations know the value of enabling their data to drive new business outcomes, this starts with enabling data access in a simple and secure way. Novel uses of business data can drive new business outcomes and organizations that increase their data literacy are more likely to discover the data-driven insights that create new outcomes to better serve their customers.

Semantee is a hassle-free easily configurable managed database optimized for semantic search. It is provided as a set of REST APIs, which can be integrated into any app in minutes and offers multilingual semantic search for applications of virtually any size both in the cloud and on-premise. The product is priced significantly more transparently and cheaply compared to most providers and is especially optimized for large-scale apps. Semantee also offers an abstraction layer over an e-shop's product catalog, enabling the store to utilize semantic search instantly without having to re-configure its database.

Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams. Pathway is powered by a scalable Rust engine based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with Docker and Kubernetes.

Focus on application development with Azure Database for MySQL, which is cost-effective and easy to set up, operate, and scale. Enjoy advanced security, high availability, and a service-level agreement (SLA) of up to 99.99 percent. Fully managed MySQL, compatible with the latest community editions, provides maximum flexibility for database operations. Intelligent performance recommendations provide custom analysis and suggestions for MySQL database optimization. Simplified development experience and tight interoperability with Azure App Service and Azure Kubernetes Service (AKS). Enterprise-grade security and compliance, and enhanced security capabilities of Microsoft Defender for Identity. Easily build or migrate your workloads to Azure Database for MySQL. Set up, manage, and automate the maintenance of your MySQL database server, including routine updates, backups, and security. Build with the latest MySQL tools, drivers, and programming languages.

Build any application on Postgres, the everything database. Enjoy the unmodified open source community Postgres and all the benefits of cloud-native architecture, such as high availability, rolling updates, resource management, and more. Deployment, configuration, management, and optimization are complicated. We handle them so you can focus on your application. No two organizations are alike. Run securely in the cloud with tools like user tiers, ip allow lists, and encrypted at-rest, or deploy in your own environment. Clear, elegant, delightful UI, because developers deserve nice things too. What’s more, our CLI-first system puts the power of Postgres in your hands. Focus on your product, not your database. We optimize your whole environment, hardware, Postgres configs, and relevant extensions, to give you the best performance for your workload. No hidden costs or surprise up-charges. You only pay for what you actually use. Store as much as you need, query as much as you want.