Best Data Management Software in Canada - Page 100
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Compare the Top Data Management Software in Canada as of June 2026 - Page 100
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Circonus IRONdb
Circonus
Circonus IRONdb makes it easy to handle and store unlimited volumes of telemetry data, easily handling billions of metric streams. Circonus IRONdb enables users to identify areas of opportunity and challenge in real time, providing forensic, predictive, and automated analytics capabilities that no other product can match. Rely on machine learning to automatically set a “new normal” as your data and operations dynamically change. Circonus IRONdb integrates with Grafana, which has native support for our analytics query language. We are also compatible with other visualization apps, such as Graphite-web. Circonus IRONdb keeps your data safe by storing multiple copies of your data in a cluster of IRONdb nodes. System administrators typically manage clustering, often spending significant time maintaining it and keeping it working. Circonus IRONdb allows operators to set and forget their cluster, and stop wasting resources manually managing their time series data store. -
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KairosDB
KairosDB
Data can be pushed in KairosDB via multiple protocols like Telnet, Rest and Graphite. Other mechanisms such as plugins can also be used. KairosDB stores time series in Cassandra, the popular and performant NoSQL datastore. The schema consists of 3 column families. This API provides operations to list existing metric names, list tag names and values, store metric data points, and query for metric data points. With a default install, KairosDB serve up a query page whereby you can query data within the data store. It's designed primarily for development purposes. Aggregators perform an operation on data points and down samples. Standard functions like min, max, sum, count, mean and more are available. Import and export is available on the KairosDB server from the command line. Internal metrics to the data store can monitor the server’s performance. -
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QuestDB
QuestDB
QuestDB is a relational column-oriented database designed for time series and event data. It uses SQL with extensions for time series to assist with real-time analytics. These pages cover core concepts of QuestDB, including setup steps, usage guides, and reference documentation for syntax, APIs and configuration. This section describes the architecture of QuestDB, how it stores and queries data, and introduces features and capabilities unique to the system. Designated timestamp is a core feature that enables time-oriented language capabilities and partitioning. Symbol type makes storing and retrieving repetitive strings efficient. Storage model describes how QuestDB stores records and partitions within tables. Indexes can be used for faster read access on specific columns. Partitions can be used for significant performance benefits on calculations and queries. SQL extensions allow performant time series analysis with a concise syntax. -
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Minitab Connect
Minitab
The best insights are based on the most complete, most accurate, and most timely data. Minitab Connect empowers data users from across the enterprise with self-serve tools to transform diverse data into a governed network of data pipelines, feed analytics initiatives and foster organization-wide collaboration. Users can effortlessly blend and explore data from databases, cloud and on-premise apps, unstructured data, spreadsheets, and more. Flexible, automated workflows accelerate every step of the data integration process, while powerful data preparation and visualization tools help yield transformative insights. Flexible, intuitive data integration tools let users connect and blend data from a variety of internal and external sources, like data warehouses, data lakes, IoT devices, SaaS applications, cloud storage, spreadsheets, and email. -
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DataSentics
DataSentics
Making data science & machine learning have a real impact on organizations. We are an AI product studio, a group of 100 experienced data scientists and data engineers with a combination of experience both from the agile world of digital start-ups as well as major international corporations. We don’t end with nice slides and dashboards. The result that counts is an automated data solution in production integrated inside a real process. We do not report clickers but data scientists and data engineers. We have a strong focus on productionalizing data science solutions in the cloud with high standards of CI and automation. Building the greatest concentration of the smartest and most creative data scientists and engineers by being the most exciting and fulfilling place for them to work in Central Europe. Giving them the freedom to use our critical mass of expertise to find and iterate on the most promising data-driven opportunities, both for our clients and our own products. -
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AXIS Suite
Abaco Systems
Software tools and libraries that help you make your application faster, stronger, and better. Optimized for high performance, graphical user interface to use within application, graphical user interface tool to facilitate application development, GPU focused image processing, general processing, and display and includes an application programming interface for your application. Add visualization and controls to your embedded application in minutes, even with no GUI experience. The most valuable tool you'll ever use to demystify application performance and determinism. Simplified inter-thread communication. Associated GUI to build the application framework and monitor performance. Control how your application maps to hardware. Visualize how the hardware resources are utilized in real-time. Point-to-point data movement/message passing. Graphical user interface tool to facilitate application development. -
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Acodis
Acodis
Intelligent document processing automates the processing of data within documents, contextualizing the document, understanding the information, extracting it, and sending it to the right place. With Acodis, you can do all of this in just a few seconds. The world is full of unstructured data hidden in documents and it will be for a long time to come. That's why we built Acodis so that you can extract data from any document, in any language. Get structured data from any document with machine learning, in seconds. Build and combine document processing workflows with a few clicks, no coding required. Once you capture and automate your document's data, integrate the process into your existing systems. Acodis offers an easy-to-use user interface. This enables your team to automate document-related processes and enables you to make faster decisions based on machine learning. Use the REST client in the programming language that you are using and integrate it with your existing business tools. -
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Retina
Retina
Predict future value from day one. Retina is the customer intelligence solution that provides accurate customer lifetime value metrics early in the customer journey. Optimize marketing budgets in real-time, drive more predictable repeat revenue, and elevate brand equity with the most accurate CLV metrics. Align customer acquisition around CLV with improved targeting, ad relevance, conversion rates & customer loyalty. Build lookalike audiences based on your best customers. Focus on customer behavior instead of demographics. Pinpoint attributes that make leads more likely to convert. Uncover product features that drive valuable customer behavior. Create customer journeys that positively impact lifetime value. Implement changes to boost the value of your customer base. Using a sample of your customer data, Retina delivers individual customer lifetime value calculations to qualified customers before you buy. -
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SylLab
SylLab Systems
SylLab Systems is providing embedded compliance for enterprise data security. Privacy compliance and cybersecurity are expensive and difficult to implement, and many organizations get it wrong. Changes in the architecture, lawyers, consultants are a significant expenditure when facing privacy regulations (HIPAA, GDPR, PDPA, CCPA). Request a demo to learn more. Privacy Regulations are expanding beyond the current framework of IT infrastructure. Adapting to such a change is costly, time-consuming, and requires legal and development expertise. There is a better, more structured approach to data governance that responds and adapts to your complex IT environment, whether it’s on-cloud or on-premise. Take control of your compliance workflow and shape it according to business logic. Learn more about the solution trusted by large financial institutions across the globe. -
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Evolution AI
Evolution AI
We provide a sample of extracted data so you can quickly make an informed decision. Get your project off the ground in less than 24 hours. Costly human intervention is kept to a minimum. Our AI algorithms extract data from documents with 99.5%+ accuracy, this is guaranteed by SLA. Our clients value the accuracy provided by human oversight combined with the cost-effectiveness of artificial intelligence. Evolution AI leads a research consortium funded by the UK government, including university, government and corporate members, which has allowed us to develop several breakthrough algorithms. We have trained our models on one of the largest data sets of labeled documents ever assembled, containing over 25 million documents. Evolution AI allows data extraction from complex documents without defining any rules or writing code. Using our simple point and click interface we can quickly identify any data point you wish to extract from a document. -
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Smart Engines
Smart Engines
Green AI-powered scanner SDK of ID cards, passports, driver’s licenses, residence permits, visas, and other ids, more than 1834+ types in total. Provides eco-friendly, fast and precise scanning SDK for a smartphone, web, desktop or server, works fully autonomously. Extracts data from photos and scans, as well as in the video stream from a smartphone or web camera, is robust to capturing conditions. No data transfer — ID scanning is performed on-device and on-premise. Automatic scanning of machine-readable zones (MRZ); all types of credit cards: embossed, indent-printed, and flat-printed; barcodes: PDF417, QR code, AZTEC, DataMatrix, and others on the fly by a smartphone’s camera. Provides high-quality MRZ, barcode, and credit card scanning in mobile applications on-device regardless of lighting conditions. Supports card scanning of 21 payment systems. -
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Sybrin AI
Sybrin
Sybrin AI is a fully integrated technology stack powered by computer vision, machine learning, and data science designed to intelligently automate business processes. A comprehensive framework for extracting and understanding data from non-traditional data sources, documents, images, and video. Seamless, real-time ID capture and extraction of any ID document across the globe. Sybrin intelligent document capture is designed to enable the integration of image capture, clean up, recognition, and data extraction into your application. Verify that the person behind a remote interaction is a real person and is physically present through active or passive liveness detection using image processing techniques and neural networks to prevent spoof attacks. Sybrin Identity Verification validates the identity of the person who is actioning the transaction by matching the person’s identity document details against a live selfie and third-party database. -
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IRISXtract
IRIS
Companies receive tons of documents and information on a daily basis, both paper and electronic. Processing these documents is time consuming and resource intensive. IRISXtract™ automatically classifies documents and extracts essential data. It transfers the relevant information to your business process applications, faster and more efficiently than any manual processing. Our software ensures paperless processing of the best quality, in every language, for every document and every process. An innovative AI-based classification engine that uses statistical operators, based on certain features and characteristic values, to analyze documents. The data extraction is based on a free-form, full-text approach, that requires no templates, manual configuration or complicated training. -
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Zuva DocAI
Zuva
Everything you need to capture critical data across your organization. Access context-aware machine learning models to extract relevant information from your documents. Use our specialized classifiers to identify business document types. Distinguish across employee contracts, leases, supply agreements, and more. Quickly identify the language your document is written in. Know if your documents are in English, Portuguese, German and other languages. Create and retrieve OCR text and images from over 20 file types including email, word documents, and PDFs. Use any AI model from our library of 1000+ built-in clause and provision models, trained by our in-house team of experts to decrease initial uplift. Zuva DocAI is powered by Zuva’s patented ML technology trusted by top law firms and enterprises to identify, extract, and analyze content in documents with unparalleled accuracy. Build your own AI applications that meet your unique needs. -
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Azure HDInsight
Microsoft
Run popular open-source frameworks—including Apache Hadoop, Spark, Hive, Kafka, and more—using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. Effortlessly process massive amounts of data and get all the benefits of the broad open-source project ecosystem with the global scale of Azure. Easily migrate your big data workloads and processing to the cloud. Open-source projects and clusters are easy to spin up quickly without the need to install hardware or manage infrastructure. Big data clusters reduce costs through autoscaling and pricing tiers that allow you to pay for only what you use. Enterprise-grade security and industry-leading compliance with more than 30 certifications helps protect your data. Optimized components for open-source technologies such as Hadoop and Spark keep you up to date. -
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Azure Data Lake Storage
Microsoft
Eliminate data silos with a single storage platform. Optimize costs with tiered storage and policy management. Authenticate data using Azure Active Directory (Azure AD) and role-based access control (RBAC). And help protect data with security features like encryption at rest and advanced threat protection. Highly secure with flexible mechanisms for protection across data access, encryption, and network-level control. Single storage platform for ingestion, processing, and visualization that supports the most common analytics frameworks. Cost optimization via independent scaling of storage and compute, lifecycle policy management, and object-level tiering. Meet any capacity requirements and manage data with ease, with the Azure global infrastructure. Run large-scale analytics queries at consistently high performance. -
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Azure Databricks
Microsoft
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO). -
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Moonoia docBrain
Moonoia
The docBrain platform brings together machine learning, data science, solution engineering and DevOps for document-centric productive purpose. Deep learning technology allows you to train AI models from the bottom up and create unique solutions that address your specific document challenges. Use docBrain's pre-trained models to access years' worth of learning and ensure a minimum return on investment prior to any training. Whether you train the AI yourself or use the models off-the-shelf, the solutions you deploy with docBrain will easily integrate with your business systems. docBrain was created in-house to solve Moonoia’s own document processing challenges created mainly by error-prone and costly manual data validation that was slowing down end-to-end processes, making automation impossible. Market-available OCR technologies were unable to achieve the accuracy levels required for straight-through processing, especially for handwritten, unstructured or low-quality documents. -
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Datafold
Datafold
Prevent data outages by identifying and fixing data quality issues before they get into production. Go from 0 to 100% test coverage of your data pipelines in a day. Know the impact of each code change with automatic regression testing across billions of rows. Automate change management, improve data literacy, achieve compliance, and reduce incident response time. Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds. Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place. -
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Qlik Gold Client
Qlik
Qlik Gold Client improves the efficiency, cost and security of managing test data in SAP environments. Qlik Gold Client is designed to eliminate development workarounds by easily moving configuration, master, and transactional data subsets into testing environments. Rapidly define, copy and synchronize transactional data from production to non-production targets. Identify, select, and delete non-production data. Manage extensive and powerful data transformations through a clean and easy-to-use interface. Automate data selection and enable hands-free test data refresh cycles, reducing time and effort for test data management. Qlik Gold Client provides several options to protect PII data in non-production environments via data masking. Data masking applies a set of rules to “scramble” your production data when it’s replicated to a non-production environment. -
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Tungsten Transformation
Tungsten Automation
Classify large volumes of documents and accurately extract information. Tungsten Transformation accelerates business processes by replacing manual document classification, separation and extraction with touchless processing, speeding you along on your digital workflow transformation journey. Automate the understanding of any document type and the data on those documents for later processing or storage. Realize efficiencies in document capture processes and avoid costly integrations utilizing the Tungsten Capture and Tungsten Transformation system. Increase productivity and accelerate business processes by removing the need for manual document classification, separation and extraction. Process more transactions easily and efficiently and improve the flow of information throughout your organization. -
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Cloudera Data Platform
Cloudera
Unlock the potential of private and public clouds with the only hybrid data platform for modern data architectures with data anywhere. Cloudera is a hybrid data platform designed for unmatched freedom to choose—any cloud, any analytics, any data. Cloudera delivers faster and easier data management and data analytics for data anywhere, with optimal performance, scalability, and security. With Cloudera you get all the advantages of private cloud and public cloud for faster time to value and increased IT control. Cloudera provides the freedom to securely move data, applications, and users bi-directionally between the data center and multiple data clouds, regardless of where your data lives. -
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Datametica
Datametica
At Datametica, our birds with unprecedented capabilities help eliminate business risks, cost, time, frustration, and anxiety from the entire process of data warehouse migration to the cloud. Migration of existing data warehouse, data lake, ETL, and Enterprise business intelligence to the cloud environment of your choice using Datametica automated product suite. Architecting an end-to-end migration strategy, with workload discovery, assessment, planning, and cloud optimization. Starting from discovery and assessment of your existing data warehouse to planning the migration strategy – Eagle gives clarity on what’s needed to be migrated and in what sequence, how the process can be streamlined, and what are the timelines and costs. The holistic view of the workloads and planning reduces the migration risk without impacting the business. -
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Varada
Varada
Varada’s dynamic and adaptive big data indexing solution enables to balance performance and cost with zero data-ops. Varada’s unique big data indexing technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize. Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control. The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance. -
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Data Lakes on AWS
Amazon
Many Amazon Web Services (AWS) customers require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is a new and increasingly popular way to store and analyze data because it allows companies to manage multiple data types from a wide variety of sources, and store this data, structured and unstructured, in a centralized repository. The AWS Cloud provides many of the building blocks required to help customers implement a secure, flexible, and cost-effective data lake. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data. To support our customers as they build data lakes, AWS offers the data lake solution, which is an automated reference implementation that deploys a highly available, cost-effective data lake architecture on the AWS Cloud along with a user-friendly console for searching and requesting datasets. -
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Infor Data Lake
Infor
Solving today’s enterprise and industry challenges requires big data. The ability to capture data from across your enterprise—whether generated by disparate applications, people, or IoT infrastructure–offers tremendous potential. Infor’s Data Lake tools deliver schema-on-read intelligence along with a fast, flexible data consumption framework to enable new ways of making key decisions. With leveraged access to your entire Infor ecosystem, you can start capturing and delivering big data to power your next generation analytics and machine learning strategies. Infinitely scalable, the Infor Data Lake provides a unified repository for capturing all of your enterprise data. Grow with your insights and investments, ingest more content for better informed decisions, improve your analytics profiles, and provide rich data sets to build more powerful machine learning processes. -
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AWS Lake Formation
Amazon
AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake lets you break down data silos and combine different types of analytics to gain insights and guide better business decisions. Setting up and managing data lakes today involves a lot of manual, complicated, and time-consuming tasks. This work includes loading data from diverse sources, monitoring those data flows, setting up partitions, turning on encryption and managing keys, defining transformation jobs and monitoring their operation, reorganizing data into a columnar format, deduplicating redundant data, and matching linked records. Once data has been loaded into the data lake, you need to grant fine-grained access to datasets, and audit access over time across a wide range of analytics and machine learning (ML) tools and services. -
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A data lakehouse is a modern, open architecture that enables you to store, understand, and analyze all your data. It combines the power and richness of data warehouses with the breadth and flexibility of the most popular open source data technologies you use today. A data lakehouse can be built from the ground up on Oracle Cloud Infrastructure (OCI) to work with the latest AI frameworks and prebuilt AI services like Oracle’s language service. Data Flow is a serverless Spark service that enables our customers to focus on their Spark workloads with zero infrastructure concepts. Oracle customers want to build advanced, machine learning-based analytics over their Oracle SaaS data, or any SaaS data. Our easy- to-use data integration connectors for Oracle SaaS, make creating a lakehouse to analyze all data with your SaaS data easy and reduces time to solution.
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LeadEnrich
LeadEnrich
LeadEnrich helps companies build and enrich prospect data. Don't get locked in annual contracts with data providers. LeadEnrich is the easiest way to build validated prospect lists and clean up customer data. Our real-time list building and enrichment solution is a pay-as-you-go model. LeadEnrich saves teams hundreds of hours in manually building and cleaning prospecting lists.Starting Price: $299 per month -
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Hammerspace
Hammerspace
Hammerspace is a revolutionary storage platform that unlocks unused local NVMe storage in GPU servers to accelerate AI training and checkpointing. It transforms siloed, stranded storage into a shared, ultra-fast tier that dramatically increases GPU utilization and reduces the need for costly external storage systems. By using a standards-based parallel file system, Hammerspace delivers low-latency, high-throughput data access that scales to thousands of GPU servers. The platform helps cut power consumption and infrastructure costs while boosting AI workload performance. Leading organizations like Meta rely on Hammerspace to optimize their AI infrastructure. With easy deployment and rapid scaling, Hammerspace enables teams to get AI models trained faster and more efficiently.
