Alternatives to Tarsal

The most accurate, complete, and timely data provides the best insight. Minitab Connect empowers data users across the enterprise with self service tools to transform diverse data into a network of data pipelines that feed analytics initiatives, foster collaboration and foster organizational-wide collaboration. Users can seamlessly combine and explore data from various sources, including databases, on-premise and cloud apps, unstructured data and spreadsheets. Automated workflows make data integration faster and provide powerful data preparation tools that allow for transformative insights. Data integration tools that are intuitive and flexible allow users to connect and blend data from multiple sources such as data warehouses, IoT devices and cloud storage.

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

Cloud-Native ETL tool. You can load and transform data to your cloud data warehouse in minutes. We have redesigned the traditional ETL process to create a solution for data integration in the cloud. Our solution makes use of the cloud's near-infinite storage capacity, which means that your projects have near-infinite scaling. We reduce the complexity of moving large amounts data by working in the cloud. In just fifteen minutes, you can process a billion rows and go live in five minutes. Modern businesses need to harness their data to gain greater business insight. Matillion can help you take your data journey to the next level by migrating, extracting, and transforming your data in cloud. This will allow you to gain new insights as well as make better business decisions.

Fivetran is the smartest method to replicate data into your warehouse. Our zero-maintenance pipeline is the only one that allows for a quick setup. It takes months of development to create this system. Our connectors connect data from multiple databases and applications to one central location, allowing analysts to gain profound insights into their business.

Qlik Compose for Data Warehouses offers a modern approach to data warehouse creation and operations by automating and optimising the process. Qlik Compose automates the design of the warehouse, generates ETL code and quickly applies updates, all while leveraging best practices. Qlik Compose for Data Warehouses reduces time, cost, and risk for BI projects whether they are on-premises, or in the cloud. Qlik Compose for Data Lakes automates data pipelines, resulting in analytics-ready data. By automating data ingestion and schema creation, as well as continual updates, organizations can realize a faster return on their existing data lakes investments.

Discover insights to boost sales growth with code-free, fully automated data pipelines to data lakes and cloud warehouses. Flexible, standards-based platform that unifies sales and marketing data to automate insights and smarter growth. Say goodbye to manual data downloads that are expensive and messy. You will always know exactly what you'll be charged and only pay what you actually use. Access to data-ready data is a great way to fuel your tools. We only work with official APIs as certified developers. Data pipelines from well-known sources are easy to use. These data pipelines are pre-built, pre-transformed and ready to go. Unlock data from Amazon Vendor Central and Amazon Seller Central, Instagram Stories. Teams can quickly and economically realize the value of their data with code-free data ingestion and transformation. Databricks, Amazon Redshift and other trusted data destinations like Databricks or Amazon Redshift ensure that data is always protected.

Data integration, backup, management and connectivity. Cloud-based platform that is 100 percent cloud-based. It offers cloud agility and scalability. No manual upgrades or deployment required. There is no coding wizard that can meet the needs of both IT professionals as well as business users without technical skills. Skyvia suites are available in flexible pricing plans that can be customized for any product. To automate workflows, connect your cloud, flat, and on-premise data. Automate data collection from different cloud sources to a database. In just a few clicks, you can transfer your business data between cloud applications. All your cloud data can be protected and kept secure in one location. To connect with multiple OData consumers, you can share data instantly via the REST API. You can query and manage any data via the browser using SQL or the intuitive visual Query Builder.

Microsoft Graph is the gateway for your organization to access Microsoft 365 data in order to improve productivity, identity and security. Microsoft Graph Data Connect allows developers to copy selected Microsoft 365 datasets in a secure, scalable manner into Azure data stores. It's perfect for training machine-learning and AI models to uncover rich organizational insights. Copy data from a Microsoft 365 tenant at scale and move it into Azure Data Factory directly without writing code. In just a few easy steps, you can get the data that you need delivered to your application in a repeatable manner. Microsoft Graph Data Connect's granular consent model allows you to control how your organization's information is accessed. Developers must specify what data or filters their application will access. Administrators must also explicitly approve access to Microsoft 365 data.

Bedrock Security offers frictionless data protection, allowing you to embrace cloud-based and AI-based data growth without slowing down your business. Begin your data security journey and confidently move past just visibility. Understanding your material data using AI reasoning, and ensuring cloud and GenAI compliance is enforced by out-of-the box compliance frameworks. You must perform continuous security assessments because your data is not static. It's constantly changing, growing, and moving. Integrate behavior-based anomaly detectors, SIEM/SOAR Integration, policy enforcement and prioritization of data context to efficiently manage remediation and responses. Mature security programs enable frictionless business operations, while managing risks to the brand, revenue and reputation of an organization. Bedrock's AIR can help organizations with data minimization and identity and access minimization.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

Integrate sensors to IoT applications and enrich sensor data by integrating control system and environmental data. This data can be integrated with enterprise data in real-time and used to develop predictive algorithms that uncover new insights and harvest data for meaningful purposes. Analytics can be used to predict maintenance problems, analyze asset utilization, reduce defects, and optimize processes. Remote monitoring and diagnostics services can be provided by using the power of connected devices. IoT Analytics can be used to predict safety hazards and comply to regulations to reduce workplace accidents.

Talend Pipeline designer is a self-service web application that transforms raw data into analytics-ready data. Create reusable pipelines for extracting, improving, and transforming data from virtually any source. Then, pass it on to your choice of destination data warehouses, where you can use it as the basis for dashboards that drive your business insights. Create and deploy data pipelines faster. With an easy visual interface, you can design and preview batch or streaming data directly in your browser. Scale your hybrid and multi-cloud technology with native support and improve productivity through real-time development. Live preview allows you to visually diagnose problems with your data. Documentation, quality assurance, and promotion of datasets will help you make better decisions faster. Transform data to improve data quality using built-in functions that can be applied across batch or stream pipelines. Data health becomes an automated discipline.

Data is essential to improve the efficiency, profitability, and experience of streaming video. Datazoom allows video publishers to manage distributed architectures more efficiently by centralizing, standardizing and integrating data in real time. This creates a more powerful data pipeline, improves observability and adaptability, as well as optimizing solutions. Datazoom is a video data platform which continuously gathers data from endpoints such as a CDN or video player through an ecosystem of collectors. Once the data has been gathered, it is normalized with standardized data definitions. The data is then sent via available connectors to analytics platforms such as Google BigQuery, Google Analytics and Splunk. It can be visualized using tools like Looker or Superset. Datazoom is your key for a more efficient and effective data pipeline. Get the data you need right away. Do not wait to get your data if you have an urgent issue.

Data engineering workflows that are powerful, but without the headaches of infrastructure. Simple, reusable Python is used to define complex streaming, scheduling and data backfill pipelines. Fetch all your data in real time, no matter how complicated. Deep learning and LLMs can be used to make decisions along with structured business data. Don't pay vendors for data that you won't use. Instead, query data right before online predictions. Experiment with Jupyter and then deploy into production. Create new data workflows and prevent train-serve skew in milliseconds. Instantly monitor your data workflows and track usage and data quality. You can see everything you have computed, and the data will replay any information. Integrate with your existing tools and deploy it to your own infrastructure. Custom hold times and withdrawal limits can be set.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Osmos allows customers to easily clean up their data files and import them directly into the operational system without having to write a single line of code. Our core product is powered by an AI-powered data transformer engine that allows users to map, validate and clean data in just a few clicks. Your account will be charged/credited according to the remaining percentage of the billing cycle at the time that the plan was modified. An eCommerce company automates the ingestion of product catalogue data from multiple vendors and distributors into their database. A manufacturing company automates the ingestion of purchase orders via email attachments into Netsuite. Automatically clean up and format the incoming data to your destination schema. Never again deal with custom scripts or spreadsheets.

BDB is a modern data analysis and BI platform that can dig deep into your data to uncover actionable insights. It can be deployed on-premise or in the cloud. Our unique microservices-based architecture includes elements such as Data Preparation and Predictive, Pipeline, Dashboard designer, and Pipeline. This allows us to offer customized solutions and scalable analysis to different industries. BDB's NLP-based search allows users to access the data power on desktop, tablet, and mobile. BDB is equipped with many data connectors that allow it to connect to a variety of data sources, apps, third-party API's, IoT and social media. It works in real-time. It allows you to connect to RDBMS and Big data, FTP/ SFTP Server flat files, web services, and FTP/ SFTP Server. You can manage unstructured, semi-structured, and structured data. Get started on your journey to advanced analysis today.

Stripe Data Pipeline allows you to send all your Stripe data and reports directly to Amazon Redshift or Snowflake in just a few clicks. You can combine your Stripe data with business data to close your books quicker and gain more business insight. Install Stripe Data Pipeline in minutes. You will automatically receive your Stripe data, reports and data warehouse on an ongoing basis. To speed up your financial close and gain better insight, create a single source for truth. Find the best-performing payment methods and analyze fraud by location. Without the need for a third-party extract transform and load (ETL), you can send your Stripe data directly into your data warehouse. Stripe has a built-in pipeline that can handle ongoing maintenance. No matter how many data points you have, your data will always be complete and accurate. Automate data delivery at scale, minimize security risk, and avoid data outages.

You can centralize offline data, import files, clean up data, and process it. With one click, export to a live database Streamline data workflows. Your team can access offline data by centralizing it. Dropbase can import offline files. Multiple formats. You can do it however you want. Data can be processed and formatted. Steps for adding, editing, reordering, and deleting data. 1-click exports. Export to database, endpoints or download code in just one click Instant REST API access. Securely query Dropbase data with REST API access keys. You can access data wherever you need it. Combine and process data to create the desired format. No code. Use a spreadsheet interface to process your data pipelines. Each step is tracked. Flexible. You can use a pre-built library of processing functions. You can also create your own. 1-click exports. Export to a database or generate endpoints in just one click Manage databases. Manage databases and credentials.

Capture your unstructured data to meet all of your LLM requirements. Datavolo replaces point-to-point, single-use code with flexible, reusable, fast pipelines. This allows you to focus on the most important thing, which is doing amazing work. Datavolo gives you an edge in the competitive market. Get unrestricted access to your data, even the unstructured files on which LLMs depend, and boost your generative AI. You can create pipelines that will grow with you in minutes and not days. Configure instantly from any source to any location at any time. {Trust your data because lineage is built into every pipeline.|Every pipeline includes a lineage.} Pipelines and configurations that are only used once can be a thing of past. Datavolo is a powerful tool that uses Apache NiFi to harness unstructured information and unlock AI innovation. Our founders have dedicated their lives to helping organizations get the most out of their data.

Easily extract, transform, manage & process CAD data, FE data, CFD and test results. Create automatic data pipelines to support machine learning, deep learning, and ROM. Data science barriers can be removed without coding. Key Ward's platform, the first engineering no-code end-to-end solution, redefines how engineers work with their data. Our software allows engineers to handle multi-source data with ease, extract direct value using our built-in advanced analytical tools, and build custom machine and deep learning model with just a few clicks. Automatically centralize, update and extract your multi-source data, then sort, clean and prepare it for analysis, machine and/or deep learning. Use our advanced analytics tools to correlate, identify patterns, and find dependencies in your experimental & simulator data.

Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs.

Modern businesses base their decisions on data. Modern privacy legislation focuses on the security and privacy data. Some businesses are built around data. As businesses move to the cloud and become more digital, it is even more important to secure data. Cloud computing offers many benefits, including flexibility and scalability. However, it also poses new challenges in terms of data protection. The sheer volume of data an organization must protect is one of the biggest challenges. Cloud computing allows enterprises to store and generate vast amounts of data with greater ease than ever before. This data is often scattered across multiple platforms and locations making it difficult to protect and track. DataGuard DSPM extends zero-trust to your hybrid cloud data stores. It develops a full understanding of the data types, where they are stored, who has access and how they're secured.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

Azkaban is a distributed Workflow Manager that LinkedIn created to address the problem of Hadoop job dependencies. There were many jobs that had to be run in order, including ETL jobs and data analytics products. We now offer two modes after version 3.0: the standalone "solo-server" mode or the distributed multiple-executor mod. Below are the differences between these two modes. Solo server mode uses embedded H2 DB and both web server (and executor server) run in the same process. This is useful for those who just want to test things. You can also use it for small-scale applications. Multiple executor mode is best for serious production environments. Its DB should have master-slave MySQL instances backing it. The web server and executor servers should be run on different hosts to ensure that users don't have to worry about upgrading or maintenance. Azkaban is made stronger and more scalable by this multi-host setup.

Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

Integrating data-centric security should be part of your overall business strategy. Traditional controls are focused on the perimeter around the data, which can lead to data silos and sometimes unusable. This approach is not compatible with business drivers like data analytics and automated AI/ML processes. Data-centric security fundamentally alters the way you manage, control, audit, and protect your most sensitive business data. It tokenizes sensitive data elements while preserving their original format. Data protection is not the only goal of a data-centric security system. A comprehensive platform that allows data discovery and protection, which can scale with an organization's growth.

Assure Compliance Monitoring is a bundle that includes Assure Security features. They can be used together to quickly identify security and compliance problems by producing alerts, reports, and reports on IBM system activity, database changes, and views of Db2 information. Two features are also included in the bundle, which can be purchased separately. Assure Monitoring & Reporting seamlessly extracts insights directly from IBM i journal data, and generates alerts and reports about security incidents and compliance deviations. You can use the system and database monitoring capabilities separately or together. You can also send data directly to your enterprise SIEM software, allowing IBM security to be monitored on all enterprise platforms. Assure Db2 Security Monitor is an innovative solution that monitors Db2 data views and blocks records. Assure Security offers market-leading IBM i security capabilities that will help you and your organization comply with cybersecurity regulations.

Cloudian®, S3-compatible object storage and file storage, solves your capacity and cost problems. Cloud-compatible and exabyte-scalable, Cloudian software defined storage and appliances make it easy to deliver storage to one site or across multiple sites. Get actionable insight. Cloudian HyperIQTM provides real-time infrastructure monitoring as well as user behavior analytics. To verify compliance and monitor service levels, track user data access. With configurable, real time alerts, you can spot infrastructure problems before they become serious. HyperIQ can be customized to fit your environment with over 100 data panels. Cloudian Object Lock is a hardened solution to data immutability. HyperStore®, which is secured at the system level by HyperStore Shell (HSH), and RootDisable, makes it impregnable.

Flow is more than just a cloud security tool that scans data. It is the only platform to analyze data both at rest and in motion. The platform allows security teams to regain full control of their data by analyzing and tracking all data flows during runtime. This includes shadow data stores, applications, and cloud environments. Flow's deep data analysis of an organization's journey from source to destination allows security team to automatically catalog their sensitive data. PII, PCI, PHI; visualize data flows; detect data risks; and respond effectively in real-time by providing the complete context: who, when, where, and why.

Open core, delivering hybrid cloud and multi-cloud integration Data Fusion is built with open source project CDAP. This open core allows users to easily port data from their projects. Cloud Data Fusion users can break down silos and get insights that were previously unavailable thanks to CDAP's integration with both on-premises as well as public cloud platforms. Integrated with Google's industry-leading Big Data Tools Data Fusion's integration to Google Cloud simplifies data security, and ensures that data is instantly available for analysis. Cloud Data Fusion integration makes it easy to develop and iterate on data lakes with Cloud Storage and Dataproc.

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

Realm.Security combines disparate security data into one intelligent entity. We deliver the right information at the right time by leveraging AI and cutting-edge data processing technology. We know that your security team faces a growing challenge in managing the explosion of data generated by the increasing number of tools. CISOs estimate that alert volume has increased by 300% to 500% in the last 24 months. Your attack surface continues to grow. Maintaining control over existing investments, and streamlining the adoption of new solutions requires a better strategy. From disparate data sources, evolve to a unified, intelligent data fabric.

Datuum is an AI-powered data integration tool that offers a unique solution for organizations looking to streamline their data integration process. With our pre-trained AI engine, Datuum simplifies customer data onboarding by allowing for automated integration from various sources without coding. This reduces data preparation time and helps establish resilient connectors, ultimately freeing up time for organizations to focus on generating insights and improving the customer experience. At Datuum, we have over 40 years of experience in data management and operations, and we've incorporated our expertise into the core of our product. Our platform is designed to address the critical challenges faced by data engineers and managers while being accessible and user-friendly for non-technical specialists. By reducing up to 80% of the time typically spent on data-related tasks, Datuum can help organizations optimize their data management processes and achieve more efficient outcomes.

You can deploy production-ready change data capture pipes for high-volume, real time data replication without writing a single line code. Supercharged Change Data Capture. Arcion's distributed Change Data Capture, CDC, allows for automatic schema conversion, flexible deployment, end-to-end replication and much more. Arcion's zero-data loss architecture ensures end-to-end consistency and built-in checkpointing. You can forget about performance and scalability concerns with a distributed, highly parallel architecture that supports 10x faster data replication. Arcion Cloud is the only fully managed CDC offering. You'll enjoy autoscaling, high availability, monitoring console and more. Reduce downtime and simplify data pipelines architecture.

For AI and cloud analytics, you can ingest, prepare, or process data pipelines at large scale. Informatica's extensive data engineering portfolio includes everything you need to process big data engineering workloads for AI and analytics. This includes robust data integration, streamlining, masking, data preparation, and data quality.

CData Sync is a universal database pipeline that automates continuous replication between hundreds SaaS applications & cloud-based data sources. It also supports any major data warehouse or database, whether it's on-premise or cloud. Replicate data from hundreds cloud data sources to popular databases destinations such as SQL Server and Redshift, S3, Snowflake and BigQuery. It is simple to set up replication: log in, select the data tables you wish to replicate, then select a replication period. It's done. CData Sync extracts data iteratively. It has minimal impact on operational systems. CData Sync only queries and updates data that has been updated or added since the last update. CData Sync allows for maximum flexibility in partial and full replication scenarios. It ensures that critical data is safely stored in your database of choice. Get a 30-day trial of the Sync app for free or request more information at www.cdata.com/sync

Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.

The most powerful way to monitor and protect sensitive data at large scale. The all-in-one data security solution that doesn't slow down will help you reduce risk and detect abnormal behavior. You get a platform, a team, an approach, and a plan that gives you every advantage. Classification, access governance, and behavioral analytics all work together to secure data, prevent threats, and ease the burden of compliance. Our proven method to monitor, protect and manage your data is backed by thousands of successful rollouts. Hundreds of security professionals are able to create advanced threat models, update policies, and assist in incidents, allowing you to concentrate on other priorities.

The fastest way to prepare data and build data pipelines in cloud. Trifacta offers visual and intelligent guidance to speed up data preparation to help you get to your insights faster. Poor data quality can cause problems in any analytics project. Trifacta helps you to understand your data and can help you quickly and accurately clean up it. All the power without any code. Trifacta offers visual and intelligent guidance to help you get to the right insights faster. Manual, repetitive data preparation processes don't scale. Trifacta makes it easy to build, deploy, and manage self-service data networks in minutes instead of months.

Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom Pipeline Alerts to Monitor Data in Real-Time

Automate and integrate best-of-breed security solutions. Take control of your destiny. Seclore's Data-Centric Security Platform allows you to unify the best-of-breed Data-Centric Security Solutions into a cohesive, automated framework. This is possible without additional integration costs. Although each has its strengths, DLP, Classification, and Rights Management all ensure that documents are properly protected and tracked no matter where they travel. Let's not forget about your Enterprise systems! To further automate the process, EFSS, eMails, ECM, Directories, SIEM, and eMail can all be easily added to this framework. Easily combine best-in-class DLP and Data Classification, Rights Management, and SIEM systems into one automated process for superior information security. Seclore Unified Policy Manager allows you to manage identity management, policy management and connectivity. It also collects information about document usage.

Panoply makes it easy to store, sync and access all your business information in the cloud. With built-in integrations to all major CRMs and file systems, building a single source of truth for your data has never been easier. Panoply is quick to set up and requires no ongoing maintenance. It also offers award-winning support, and a plan to fit any need.

Event Hubs is a fully managed, real time data ingestion service that is simple, reliable, and scalable. Stream millions of events per minute from any source to create dynamic data pipelines that can be used to respond to business problems. Use the geo-disaster recovery or geo-replication features to continue processing data in emergencies. Integrate seamlessly with Azure services to unlock valuable insights. You can allow existing Apache Kafka clients to talk to Event Hubs with no code changes. This allows you to have a managed Kafka experience, without the need to manage your own clusters. You can experience real-time data input and microbatching in the same stream. Instead of worrying about infrastructure management, focus on gaining insights from your data. Real-time big data pipelines are built to address business challenges immediately.

DataFactory has everything you need to integrate data and build efficient data pipelines. Transform raw data to information and insights faster than with other tools. No more writing pages of code just to move or transform data. Drag data operations directly from a tool pallete onto your pipeline canvas for even the most complex pipelines. Drag and drop data transformations to a pipeline canvas. Build pipelines in minutes that would have taken hours to code. Automate and operationalize by using version control and an approval mechanism. Data wrangling used to be one tool, pipeline creation was another and machine learning yet another. DataFactory brings all of these functions together. Drag-and-drop transformations make it easy to perform operations. Prepare datasets for advanced analytics. Add & operationalize ML features like segmentation and category without code.

Build data pipelines for unstructured external data 5x faster than developing them in-house. Datastreamer is a turnkey platform that allows you to access billions of data points, including news feeds and forums, social media, blogs, and your own supplied data. Datastreamer platform receives source data and unites it to a common or user defined schema which product to use content from multiple sources simultaneously. Leverage our pre-integrated data partners or connect data from any data supplier. Tap into our powerful AI models to enhance data with components like sentiment analysis and PII redaction. Scale data pipelines with less costs by plugging into our managed infrastructure that is optimized to handle massive volumes of text data.

Pitchly is more than just a data platform. We help you make the most of it. Our integrated warehouse-to worker process brings business data to life. We go beyond other enterprise data platforms. Content production is a key part of the future of work. Repeatable content can be made more accurate and faster by switching to data-driven production. Workers are then free to do higher-value work. Pitchly gives you the power to create data-driven content. You can set up brand templates and build your workflow. Then, you can enjoy on-demand publishing with the reliability of data-driven accuracy and consistency. You can manage all your assets in one content library, including tombstones, case studies and bios as well as reports and any other content assets Pitchly clients produce.