Data Integration News Archives » Best Data Integration Vendors, News & Reviews for Big Data, Applications, ETL and Hadoop

What to Expect at Safe Software’s The Peak of Data Integration 2023 on September 5-7

Tim King — Fri, 25 Aug 2023 15:38:16 +0000

Safe Software’s The Peak of Data Integration 2023 will offer learning and networking opportunities and hands-on training with FME.

What is The Peak of Data Integration?

With over 75 sessions and real-life stories from FME users worldwide, you won’t want to miss this opportunity to make connections and learn amongst the best in data integration who are conquering data mountains with FME. FME helps organizations connect data and applications across systems, streamline operations with automated workflows, and deliver speed to insights. Safe Software serves customers in diverse industries.

Why You Should Attend

Join Safe Software (and Solutions Review!) at the Peak of Data Integration 2023, the largest gathering of FME users on earth. The event, which takes place from September 5-7 in Bonn, Germany, will offer learning and networking opportunities and hands-on training with FME.

About Safe Software

Safe Software is a major player in enterprise spatial data integration and helps global organizations maximize the value of their data. The company offers FME, an enterprise integration platform. FME helps organizations connect data and applications across systems, streamline operations with automated workflows, and deliver speed to insights. Safe Software serves customers in diverse industries, including Government, Utilities, Energy, AEC, Telecom, and Transportation.

FAQ

What: Safe Software: The Peak of Data Integration 2023
When: September 5-7, 2023
Where: Bonn, Germany (see registration page for more detail)

Register for The Peak of Data Integration 2023

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What to Expect at Denodo DataFest Americas 2023 on September 12-14

Tim King — Mon, 07 Aug 2023 15:37:30 +0000

Denodo DataFest 2023 will empower users to maximize their knowledge of Denodo and help increase ROI from data and analytics tools, models, and applications.

What is a Denodo DataFest?

Join your peers and other industry leaders at Denodo DataFest 2023 and explore the latest innovations in logical data management with Denodo. Exchange expertise and stories experienced in the logical data management ecosystem. Hear firsthand from leading technology leaders, including data scientists, data engineers, cloud architects, enterprise architects, and business leaders, about their experiences in architecting and building modern data infrastructures.

Why You Should Attend

Denodo DataFest 2023 is designed to empower customers to maximize their knowledge of the Denodo Platform and to help their organizations increase their ROI from data and analytics tools, models, and applications.

This event offers opportunities to learn about best practices and tips for leveraging the Denodo Platform’s logical approach for cloud modernization, self-service analytics, data science and machine learning (ML), data fabric, data mesh, and more.

Learn from fellow data practitioners by swapping strategies and sharing
best practices
Build confidence and expertise in creating leading-edge logical data solutions to address your organization’s data integration and data management needs
Network with like-minded industry professionals who are using the Denodo Platform to conquer the challenges that come with data that is deeply buried, complex to access, difficult to integrate, and inaccessible to business users

Speakers

Sanjeev Mohan, Angel Vina, & many more

About Denodo

The award-winning Denodo Platform offers a robust capabilities package for data integration, data management, and data delivery using a logical approach to enable self-service business intelligence, data science, hybrid/multi-cloud integration, and enterprise data services. Denodo touts customers across large enterprises and mid-market companies in over 30 industries. A pioneering company in the data virtualization space, Denodo was founded in Palo Alto, California, in 1999.

FAQ

What: Denodo DataFest 2023
When: September 12-14, 2023
Where: Boston, MA (see registration page for more detail)

Register for Denodo DataFest 2023

The post What to Expect at Denodo DataFest Americas 2023 on September 12-14 appeared first on Best Data Integration Vendors, News & Reviews for Big Data, Applications, ETL and Hadoop.

Safe Software’s FME:23 Bringing Life to Data: Event Live Blog

Tim King — Thu, 13 Apr 2023 16:36:42 +0000

Safe Software’s FME:23 rebrand launch event marks the start of a new era in spatial data integration. Safe Software Co-Founders Don and Dale will unveil the first-ever debut of the firm’s corporate rebrand as well as share sneak peaks on the upcoming FME release. Our editors will live blog all the news, tips, and insights in this space.

Who is Safe Software?

Safe Software is a major player in enterprise spatial data integration and has helped many global organizations maximize the value of their data. The company offers FME, an enterprise integration platform with comprehensive support for spatial data. FME helps organizations connect data and applications across systems, streamline operations with automated workflows, and deliver speed to insights. Safe Software serves customers in diverse industries, including Government, Utilities, Energy, AEC, Telecom, and Transportation.

Next, Safe Software will dive into the powerful new features of FME:23 — showcasing how they can enhance your workflows, simplify data transformations, and drive real-world business applications. Safe will share inspiring customer success stories, demonstrating how FME can revolutionize the way you work with data. Don and Dale will also provide insight into the future of FME, giving you a glimpse into what’s to come.

Coverage begins April 13 at 1:00 PM EST, and here’s what to expect.

14/13/2022, 2:16 PM

Tim King: That’s an event! Thanks for tuning in to our live coverage of Safe Software’s FME:23: Bringing Life to Data.

14/13/2022, 2:12 PM

Tim King: Q&A time.

14/13/2022, 2:06 PM

Tim King:

Don and Dale are sharing some great resources for understanding #Spatial data, like this one, which we host on @SolutionsReview:https://t.co/kYa9ohf5tC

— Tim King (@BigData_Review) April 13, 2023

14/13/2022, 2:00 PM

Tim King:

It’s official! pic.twitter.com/AETUtYiqSs

— Tim King (@BigData_Review) April 13, 2023

14/13/2022, 1:59 PM

Tim King: New features for FME:23 are expected to roll out “in the next four weeks.”

14/13/2022, 1:56 PM

Tim King: Safe Software announces enhanced support for Databricks.

14/13/2022, 1:43 PM

Tim King:

Don and Dale are sharing slides and explaining the new features coming to @SafeSoftware FME:23.

Here are a few snapshots of the ones I found most interesting: pic.twitter.com/4gQTZn5DeQ

— Tim King (@BigData_Review) April 13, 2023

14/13/2022, 1:33 PM

Tim King: Don and Dale begin discussing the FME: 23 product release.

14/13/2022, 1:29 PM

Tim King:

Safe Software unveils its new logo, corporate brand, and website, Safe dot com:

Corporate site: https://t.co/9gNnI0XKoL

Product site: https://t.co/ET5cqTuBM9 pic.twitter.com/i4zv5Z5dS9

— Tim King (@BigData_Review) April 13, 2023

14/13/2022, 1:27 PM

Tim King: Safe Software unveils its new logo, corporate brand, and website.

14/13/2022, 1:22 PM

Tim King:

FME is the only #DataIntegration platform with true support for #SpatialData. The rebrand introduces new product names, FME Form, FME Flow, FME AR, FME Mobile, and FME Flow Hosted:https://t.co/Q7sAUTcD1b

— Tim King (@BigData_Review) April 13, 2023

14/13/2022, 1:15 PM

Tim King:

Don and Dale offer up some of @SafeSoftware‘s old branding, logos, and splash pages.

Anticipation building for the company’s reveal of a new brand which is focused on the #Enterprise. pic.twitter.com/Wf87mLfQgJ

— Tim King (@BigData_Review) April 13, 2023

14/13/2022, 1:12 PM

Tim King:

Key differentiators of @SafeSoftware: Enterprise #Integration, #NoCode environment, flexible deployment.

— Tim King (@BigData_Review) April 13, 2023

14/13/2022, 1:00 PM

Tim King: We’re live! Safe Software Co-Founders Don and Dale start the show by talking about the company’s history.

14/13/2022, 12:50 PM

Tim King:

In addition to the live blog, you can watch the entire event here, free: https://t.co/mVKB1pZwmj

— Tim King (@BigData_Review) April 13, 2023

14/13/2022, 12:43 PM

Tim King: In addition to following along here (for the best access to links and embedded media), you can also watch the event virtual stream here.

14/13/2022, 12:39 PM

Tim King:

1 PM EST! @SafeSoftware‘s FME:23 #Webinar ‘Bringing #Data to Life’ goes live. I’ll be live-blogging for @SolutionsReview:https://t.co/8nDiImpnPW

— Tim King (@BigData_Review) April 13, 2023

14/13/2022, 12:36 PM

Tim King: Solutions Review is set to cover this exclusive Safe Software FME:23 event and we hope you’ll join us!

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What to Expect at Safe Software’s FME:23 Event on April 13

Tim King — Mon, 13 Mar 2023 18:51:07 +0000

Who is Safe Software?

What is the FME:23 Product Launch?

This event will feature Safe Software’s Co-Founders, Don and Dale, who discuss the latest product innovations driven by market direction. Attendees will witness the first-ever external debut of Safe Software’s corporate rebrand as well.

Why (Virtually) Attend?

The free virtual event consists of a keynote by Don and Dale to share the company’s product vision and direction, the new identity, and a spotlight customer success story on how FME can revolutionize how you work with data and transform the enterprise. There will also be product innovations, future development, and a live Q&A panel.

FAQ

What: Safe Software’s FME:23 Product Launch & Corporate Rebrand

When: Thursday, April 13, 2023 from 1:00 PM to 2:30 PM EST (virtual)

Where: Virtual, free and open to all (see registration page for more details)

Register for Safe Software’s FME:23 Product Launch FREE

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Solutions Review Names 7 Low-Code Data Engineering Vendors to Watch, 2023

Tim King — Fri, 03 Feb 2023 18:55:59 +0000

Solutions Review’s Low-Code Data Engineering Vendors to Watch is an annual listing of solution providers we believe are worth monitoring. Companies are commonly included if they demonstrate a product roadmap aligning with our meta-analysis of the marketplace. Other criteria include recent and significant funding, talent acquisition, a disruptive or innovative new technology or product, or inclusion in a major analyst publication.

Low-code data engineering is a software development approach that enables data engineers to automate and streamline data workflows and pipelines with minimal coding required. It leverages visual interfaces and pre-built components to make it easier for users to perform data engineering tasks, such as data extraction, transformation, loading (ETL), data management and transformation, and data monitoring and troubleshooting.

The goal of low-code data engineering is to make data engineering accessible to a wider range of users, including business analysts, data scientists, and developers, who may not have specialized technical skills. This approach helps to speed up the development process, reduce errors, and make it easier to maintain and update data workflows over time.

These low-code data engineering Vendors to Watch have met at least two of our five points of inclusion and represent to some degree the evolution of the marketplace. It’s in that spirit we turn our attention to the immediate future. Providers are listed in alphabetical order. Provider names and logos are linked so you can learn more.

Ab Initio

Ab Initio provides a unique data processing platform. It can process complex enterprise data using sophisticated business logic at any scale. The applications are built graphically and can run within a batch, streaming, in-memory, or microservice architecture. At runtime, the platform adapts to changes in the data formats, rules, and infrastructure, providing a new level of agility. The platform manages all these technical and operational foundations so that system architects, analysts, and developers can focus on the important parts.

Alteryx

Alteryx is a self-service data analytics software company that specializes in data preparation and data blending. Alteryx Analytics allows users to organize, clean, and analyze data in a repeatable workflow. Business analysts find this tool particularly useful for connecting to and cleansing data from data warehouses, cloud applications, spreadsheets and other sources. The platform features tools to run a variety of analytic jobs (predictive, statistical, spatial) inside a single interface.

Datameer

Datameer offers a data analytics lifecycle and engineering platform that covers ingestion, data preparation, exploration, and consumption. The product features more than 70 source connectors to ingest structured, semi-structured, and unstructured data. Users can directly upload data or use unique data links to pull data on demand. Datameer’s intuitive and interactive spreadsheet-style interface lets you transform, blend and enrich complex data toward the creation of data pipelines.

Decodable

Decodable offers a real-time data engineering service for developers and data engineers. The product lets producers of data can serve data directly to the consumer with no intermediary, and data consumers can tailor the data to their needs without any back and forth. Built on the proven stream processing capabilities of Apache Flink, Decodable fully manages the underlying operations, providing engineers with a simple, easy-to-use development and implementation environment.

Fivetran

Fivetran is an automated data integration platform that delivers ready-to-use connectors, transformations and analytics templates that adapt as schemas and APIs change. The product can sync data from cloud applications, databases, and event logs. Integrations are built for analysts who need data centralized but don’t want to spend time maintaining their own pipelines or ETL systems. Fivetran is easy to deploy, scalable, and offers some of the best security features of any provider in the space.

Prophecy

Prophecy.io is a cloud-native data engineering product built on Apache Spark and Kubernetes. They help enterprise organizations to modernize their data engineering via open runtimes and hybrid cloud deployments. Prophecy does this by automatically migrating existing ETL workflows to Apache Spark and providing a full-stack data engineering product on cloud infrastructure.

Talend

Talend offers an expansive portfolio of data integration and data management tools. The company’s flagship tool, Open Studio for Data Integration, is available via a free, open-source license. Talend Integration Cloud is offered in three separate editions (SaaS, hybrid, elastic) and provides broad connectivity, built-in data quality, and native code generation to support big data technologies. Big data components and connectors include Hadoop, NoSQL, MapReduce, Spark, machine learning, and IoT.

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What’s Changed: 2023 Gartner Magic Quadrant for Integration Platform as a Service

Tim King — Tue, 31 Jan 2023 21:10:42 +0000

The editors at Solutions Review highlight what’s changed since the last iteration of Gartner’s 2023 Magic Quadrant for Enterprise Integration Platform as a Service and provide an analysis of the new report.

Analyst house Gartner, Inc. recently released the 2023 version of its Magic Quadrant for Integration Platform as a Service. Enterprise Integration Platform as a Service solutions are standalone solutions used by subscribers directly, unlike integration features embedded in other offerings. According to the analyst, IT and business roles are increasingly utilizing EiPaaS as a component of their integration strategies. However, despite common use in mid-market and enterprise organizations, vendors are fragmented and difficult to evaluate. This Magic Quadrant is intended to assist software engineering leaders.

Integration Platform as a Service (iPaaS) has become an essential tool for organizations looking to streamline their data integration processes and improve their operational efficiency. The cloud-based platform provides a comprehensive solution for connecting various applications and data sources in real-time, making it a valuable asset for businesses of all sizes.

However, with the growing demand for iPaaS, the market has become increasingly crowded and complex. With so many options available, it can be challenging for organizations to determine which solution is the best fit for their needs. This is where the Gartner Magic Quadrant for Integration Platform as a Service comes in.

Gartner is a leading research and advisory company that provides insights and advice to organizations in a range of industries. The Gartner Magic Quadrant provides a graphical representation of the leading iPaaS vendors based on the company’s analysis. The report evaluates vendors based on two key criteria: “Ability to Execute” and “Completeness of Vision”. The former evaluates the vendor’s current offerings and their ability to meet the needs of their customers, while the latter evaluates the vendor’s ability to articulate a clear vision for their future offerings and how they will meet the evolving needs of the market.

The Magic Quadrant plots the vendors in a grid with four quadrants: Niche Players, Challengers, Visionaries, and Leaders. Niche Players are vendors that are strong in a specific area but have limited offerings. Challengers are vendors with solid offerings but limited vision for the future. Visionaries are vendors with a clear vision for the future but limited current offerings, and Leaders are vendors with strong current offerings and a clear vision for the future.

The Magic Quadrant provides organizations with a snapshot of the iPaaS market, including its direction, maturity, and participants. It also helps organizations evaluate vendor offerings and make informed decisions when selecting an iPaaS solution for their specific needs. For example, if an organization is looking for a vendor with a strong current offering, they may choose a Leader. On the other hand, if they are looking for a vendor with a clear vision for the future, they may choose a Visionary.

In addition to helping organizations navigate the iPaaS landscape, the Magic Quadrant also provides valuable insights into the direction of the market and the areas where vendors are focusing their development efforts. This information can be used by organizations to make informed decisions about the future of their integration platform and how it will support their evolving needs.

One of the key benefits of the Gartner Magic Quadrant for Integration Platform as a Service is its objectivity. The report is based on a rigorous evaluation process that considers multiple sources of data and feedback, ensuring that the information it provides is accurate and relevant. This allows organizations to make informed decisions about their integration platform without having to rely on subjective opinions or vendor marketing materials.

In conclusion, the Gartner Magic Quadrant for Integration Platform as a Service is a valuable tool for organizations looking to implement an iPaaS solution. It provides a comprehensive evaluation of the leading vendors in the market and helps organizations to make informed decisions when selecting a vendor that meets their specific needs. Whether you are a large enterprise, a small startup, or somewhere in between, the Magic Quadrant can help you navigate the complex landscape of iPaaS and make the best choice for your organization.

Read Gartner’s 2023 Magic Quadrant for Enterprise Integration Platform as a Service.

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The One Azure Data Engineer Expert Certification to Rule Them All

Tim King — Fri, 13 Jan 2023 16:27:50 +0000

There are several excellent options in the e-learning space, but Udacity’s Azure data engineer expert certification is a must-have this year.

Data engineering involves designing and building pipelines that transport and transform data into a usable state for data workers. It often requires commercial software, specialized training, practitioner guidance, or professional services to accomplish. Data pipelines commonly take data from many disparate sources and collect them into data warehouses representing the data as a single source.

To do so, data engineers must manipulate and analyze data from each system as a pre-processing step. As data volumes and complexity continue to grow, new techniques, technologies, and theories are continually being developed to engineer data.

Our editors review all of the best data engineering courses and certifications each year to bring our audience the top picks for their use case. That’s why it’s in this spirit that Solutions Review editors bring you this recommendation to consider Udacity’s Azure data engineer expert certification if you’re looking to grow your skills this year.

Udacity is perfect for those who want the most in-depth experience possible through access to entire course libraries or learning paths.

TITLE: Data Engineering with Microsoft Azure

OUR TAKE: Master the job-ready skills you need to succeed as a Microsoft Azure data engineer like designing data models and utilizing other in-demand components of the cloud computing service.

Description: Learners will acquire the skills needed to design data models, create data pipelines, and navigate large datasets on the Azure platform. Additionally, they will learn to build data warehouses, data lakes, and lakehouse architecture.

GO TO TRAINING

Solutions Review participates in affiliate programs. We may make a small commission from products purchased through this resource.

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Solutions Review Releases 2023 Buyer’s Guide for Data Integration Tools

Tim King — Thu, 15 Dec 2022 13:00:35 +0000

Solutions Review is announcing the release of its new 2023 Buyer’s Guide for Data Integration Tools in an attempt to help organizations select the best software.

Solutions Review today is releasing its newly updated 2023 Buyer’s Guide for Data Integration Tools for data, application, and cloud integration to assist organizations during the research and discovery phase of buying business software. Gathered via a meta-analysis of available online materials, Solutions Review editors compile each Buyer’s Guide via research, analyst reports, conversations with subject matter experts and vendor representatives, and examining product demonstrations.

Top providers highlighted include: 1Spatial, Adeptia, Boomi, Celigo, Cleo, Denodo, Equalum, Fivetran, Hitachi Vantara, IBM, Informatica, Jitterbit, Keboola, Matillion, Microsoft, MuleSoft, Oracle, Precisely, Qlik, Safe Software, SAP, SAS, SnapLogic, Striim, Talend, TIBCO, Tray.io, and Trifacta.

Solutions Review is a collection of business software news and resource sites that aggregates, curates, and creates the leading content to connect buyers and sellers. Over the past six years, Solutions Review has launched 20 distinct and category-specific Buyer’s Guide sites for technologies ranging from Cybersecurity to Big Data and WorkTech, as well as Identity and Access Management, Endpoint Security, Data Analytics and Data Management, Enterprise Resource Planning and Business Process Management, and Enterprise Cloud and Network Monitoring.

In addition to the 2023 Buyer’s Guide for Data Integration Tools, readers are encouraged to view updated research in other related Solutions Review coverage areas:

Solutions Review also drastically increased its presence in the virtual events space in 2022. Headlined by the Solution Spotlight series and our popular Demo Days, Solutions Review is emerging as a major multimedia influencer in enterprise technology.

Nearly 10 million technology professionals will use Solutions Review to help them evaluate business software this year. Solutions Review is a vendor-agnostic resource that does not endorse any individual product or service.

Download Solutions Review’s 2023 Buyer’s Guide for Data Integration Tools.

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Solutions Review Names 10 Data Integration Tools Vendors to Watch, 2023

Tim King — Thu, 15 Dec 2022 13:00:34 +0000

Solutions Review’s Data Integration Tools Vendors to Watch is an annual listing of solution providers we believe are worth monitoring. Companies are commonly included if they demonstrate a product roadmap aligning with our meta-analysis of the marketplace. Other criteria include recent and significant funding, talent acquisition, a disruptive or innovative new technology or product, or inclusion in a major analyst publication.

Data integration tools vendors are increasingly being disrupted by cloud connectivity, self-service, and the encroachment of data management functionality. As data volumes grow, we expect to see a continued push by providers in this space to adopt core capabilities of horizontal technology sectors. Organizations are keen on adopting these changes as well and continue to allocate resources toward the providers that can not only connect data lakes and Hadoop to their analytic frameworks, but cleanse, prepare, and govern data.

These data integration tools Vendors to Watch have met at least two of our five points of inclusion and represent to some degree the evolution of the marketplace. It’s in that spirit we turn our attention to the immediate future. Providers are listed in alphabetical order. Provider names and logos are linked so you can learn more.

1Spatial

1Spatial unlocks the value of location data (2D and 3D data) at scale by delivering automated data validation, cleansing, transformation, and enhancement of spatial and non-spatial data. With a simple user interface, it delivers fast, secure processing and supports SaaS, on-prem or hybrid deployment. Supported by a user-friendly web-based drag-and-drop data gateway, it powers some of the largest geospatial datasets in the world.

Arcion

Arcion offers a real-time database replication platform which comes in two different deployment flavors. Key features include the ability to convert, extra, and load, transformations, low-latency change data capture, enterprise security, data validation, and live monitoring. Arcion Cloud lets customers deploy production-ready CDC pipelines for high-volume and real-time data replication without then need to write any code.

Ascend.io

Ascend.io offers a unified, automated platform to ingest, transform, and orchestrate data engineering and analytics workloads. Backed by DataAware intelligence—Ascend works continuously in the background to guarantee data integrity and optimize data workloads. Users can build, iterate on, and run data transformations with Ascend’s multi-language flex-code interface enabling the use of SQL, Python, Java, and Scala interchangeably.

Coalesce

Coalesce offers a data transformation tool that was build using a column-aware architecture. Coalesce’s unique code-first, GUI-driven user experience enables data experts to transform their Snowflake data in a new way. Users can leverage column-aware metadata for hastening data transformations and creating database objects such as dimensions. The tool was designed for data architects, engineers, scientists, analysts, and consumers alike.

Dataddo

Dataddo offers a cloud-based data integration, automation and transformation platform. It can transform and wire data to a wide range of database tools, data warehouses, cloud storage, or dashboard and business intelligence software. Users can automate extraction, transformation and delivery internally or to clients. The tool works with your existing IT infrastructure or data visualization tools via a REST API, Direct DB Push or Automatic Data Delivery.

Digibee

Digibee offers an enterprise Integration Platform as a Service solution that helps customers bridge the gap between current systems and new technologies. The product enables users to connect data and platforms that have never been connected before, regardless of underlying silos or legacy infrastructure. Digibee is low-code, data and systems agnostic, and cloud-native as well.

InfinyOn

InfinyOn offers a unified platform for real-time event streaming and data transformation. The platform enables users to stream, transform and load events into any data store or application as well. Aggregate millions of events and logs from the core or edge in real-time, format and structure your data with WASM-based SmartModules, and use Smart Connectors to load structured data into a database or data lake.

Safe Software

RightData

RightData offers a self-service approach to simplifying complex data operations like data ingestion, unification, structuring, cleansing, validating, transforming, and loading. The company’s tools include Dextrus, a purpose-built cloud-powered self-service solution for all data practitioners, and RightData tool is a no-code data testing, reconciliation, and validation suite.

Upsolver

Upsolver offers a no-code data lake engineering platform designed for agile cloud analytics. The product features a self-service compute layer between data lakes and analytics tools to automate menial data pipeline work. Upsolver touts capabilities for running data ingestion, performance optimization, real-time processing, and upserts into cloud storage. Built-in connectors enable ingestion from message brokers, object storage, or databases. Key features include a visual SQL IDE, schema on read detection, and fully-managed processing jobs execution.

The post Solutions Review Names 10 Data Integration Tools Vendors to Watch, 2023 appeared first on Best Data Integration Vendors, News & Reviews for Big Data, Applications, ETL and Hadoop.

The 6 Best Geospatial Data Integration Tools to Consider in 2023

Tim King — Thu, 20 Oct 2022 14:52:01 +0000

Solutions Review’s listing of the best geospatial data integration tools is an annual mashup of products that best represent current market conditions, according to the crowd. Our editors selected the best geospatial data integration tools and software based on each solution’s Authority Score; a meta-analysis of real user sentiment through the web’s most trusted business software review sites and our own proprietary five-point inclusion criteria.

The editors at Solutions Review have developed this resource to assist buyers in search of the best geospatial data integration tools to fit the needs of their organization. Choosing the right vendor and solution can be a complicated process — one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, we’ve profiled the best geospatial data integration tools and software providers all in one place. We’ve also included platform and product line names and introductory software tutorials straight from the source so you can see each solution in action.

Note: The best geospatial data integration tools are listed in alphabetical order.

The Best Geospatial Data Integration Tools, Platforms, and Software

1Spatial

Platform: 1Integrate

Related products: 1Data Gateway, 1Integrate 3D, 1Integrate for ArcGIS

Description: 1Spatial offers a variety of spatial data tools for enterprise use cases, including its flagship integration offering, 1Integrate. The solution acts as a rule engine for your firm’s location data, and it delivers automated data validation, cleaning, transformation, and even enhancement. Key features include integrating and conflating captured or existing siloed data into single datasets and wide-ranging support for industry-standard formats like ArcGIS and Google BigQuery, and more.